Triple

T2769371
Position Surface form Disambiguated ID Type / Status
Subject Montagne de Reims E61415 entity
Predicate hasSubregion P285 FINISHED
Object Ludes
Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
 E297853 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: Ludes | Statement: [Montagne de Reims, hasSubregion, Ludes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ludes
Context triple: [Montagne de Reims, hasSubregion, Ludes]
  • A. Leens
    Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
  • B. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • C. Lunan
    Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
  • D. Lesse
    The Lesse is a scenic river in southern Belgium known for flowing through the Ardennes, its limestone caves, and popular kayaking routes.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • 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: Ludes
Triple: [Montagne de Reims, hasSubregion, Ludes]
Generated description
Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ludes
Target entity description: Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
  • A. Leens
    Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
  • B. Odeleite
    Odeleite is a civil parish in the Algarve region of southern Portugal, known for its rural landscape and proximity to the Guadiana River.
  • C. Lunan
    Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
  • D. Lesse
    The Lesse is a scenic river in southern Belgium known for flowing through the Ardennes, its limestone caves, and popular kayaking routes.
  • E. Tullistes
    Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6785d88190b99f99889463a962 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04dc7808190bb8425ed87cf74c0 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc11fa5ec8190a0b495f6b71591ab completed March 10, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_69afc1f734dc8190a4861b05583f7018 completed March 10, 2026, 7:02 a.m.
Created at: March 6, 2026, 9:57 p.m.