Triple

T19987347
Position Surface form Disambiguated ID Type / Status
Subject Battle of Auberoche E493968 entity
Predicate location P40 FINISHED
Object Gascony NE NERFINISHED

How this triple was built (2 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: Gascony | Statement: [Battle of Auberoche, location, Gascony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gascony
Context triple: [Battle of Auberoche, location, Gascony]
  • A. Gascogne chosen
    Gascogne is a historic cultural region in southwestern France known for its Gascon language, rich rural traditions, and distinctive cuisine including Armagnac and foie gras.
  • B. Aquitaine
    Aquitaine is a historical region in southwestern France known for its rich medieval heritage, strategic importance in European power struggles, and later prominence as a center of culture and wine production.
  • C. Languedoc
    Languedoc is a historic region in southern France known for its Occitan culture, medieval towns, and long-standing wine-making tradition.
  • D. Guyenne
    Guyenne is a historic province in southwestern France that once formed part of the larger region of Aquitaine and played a key role in medieval Franco-English conflicts.
  • E. Languedoc-Roussillon
    Languedoc-Roussillon was a former administrative region in southern France, stretching from the Pyrenees to the Mediterranean and known for its historic cities, vineyards, and diverse landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fdd1a5c8190af756632aac38bf4 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:29 p.m.