Triple

T8848560
Position Surface form Disambiguated ID Type / Status
Subject Gascogne E210572 entity
Predicate partOf P40 FINISHED
Object historic province of Gascony
The historic province of Gascony was a former region in southwestern France known for its distinct Gascon culture, language, and traditions, encompassing areas between the Pyrenees and the Atlantic.
E761186 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: historic province of Gascony | Statement: [Gascogne, partOf, historic province of Gascony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: historic province of Gascony
Context triple: [Gascogne, partOf, historic province of Gascony]
  • A. historical province of Languedoc
    The historical province of Languedoc was a large and influential region in southern France, known for its distinct Occitan culture, language, and role as a major center of medieval trade and politics.
  • B. historical province of Quercy
    The historical province of Quercy was a former region of southwestern France centered around the city of Cahors, known for its limestone plateaus, medieval towns, and role within the old province of Guyenne.
  • C. historical province of Rouergue
    The historical province of Rouergue was a former region of southern France, roughly corresponding to today’s Aveyron department, known for its rugged landscapes, medieval towns, and strong Occitan cultural heritage.
  • D. historical province of Poitou
    The historical province of Poitou was a former region in western France, centered around cities like Poitiers and Niort, known for its medieval political importance and distinctive rural landscapes.
  • E. historical province of Champagne
    The historical province of Champagne was a former region in northeastern France renowned for its medieval fairs, strategic location between Paris and Germany, and as the birthplace of the sparkling wine that bears its name.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: historic province of Gascony
Triple: [Gascogne, partOf, historic province of Gascony]
Generated description
The historic province of Gascony was a former region in southwestern France known for its distinct Gascon culture, language, and traditions, encompassing areas between the Pyrenees and the Atlantic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: historic province of Gascony
Target entity description: The historic province of Gascony was a former region in southwestern France known for its distinct Gascon culture, language, and traditions, encompassing areas between the Pyrenees and the Atlantic.
  • A. historical province of Languedoc
    The historical province of Languedoc was a large and influential region in southern France, known for its distinct Occitan culture, language, and role as a major center of medieval trade and politics.
  • B. historical province of Quercy
    The historical province of Quercy was a former region of southwestern France centered around the city of Cahors, known for its limestone plateaus, medieval towns, and role within the old province of Guyenne.
  • C. historical province of Rouergue
    The historical province of Rouergue was a former region of southern France, roughly corresponding to today’s Aveyron department, known for its rugged landscapes, medieval towns, and strong Occitan cultural heritage.
  • D. historical province of Poitou
    The historical province of Poitou was a former region in western France, centered around cities like Poitiers and Niort, known for its medieval political importance and distinctive rural landscapes.
  • E. historical province of Champagne
    The historical province of Champagne was a former region in northeastern France renowned for its medieval fairs, strategic location between Paris and Germany, and as the birthplace of the sparkling wine that bears its name.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60aa6db0819097c3257499200afc completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89c6788881908d6f5c49434b556d completed April 3, 2026, 9:35 a.m.
NEDg Description generation batch_69cf8ab7da348190b423f0768fe9dc1a completed April 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf8bd252a4819098891bbb67baf897 completed April 3, 2026, 9:43 a.m.
Created at: March 30, 2026, 6:49 p.m.