Triple

T215671
Position Surface form Disambiguated ID Type / Status
Subject Allier department E4815 entity
Predicate capital P234 FINISHED
Object Moulins
Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
 E29623 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: Moulins | Statement: [Allier department, capital, Moulins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moulins
Context triple: [Allier department, capital, Moulins]
  • A. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • B. Vaux
    Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
  • C. Chamonix
    Chamonix is a renowned French alpine town and ski resort in the Haute-Savoie region, famous for its dramatic mountain scenery and mountaineering history.
  • D. Prévessin-Moëns
    Prévessin-Moëns is a French commune in the Ain department of eastern France, located near Geneva and known for its proximity to the CERN research center.
  • E. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • 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: Moulins
Triple: [Allier department, capital, Moulins]
Generated description
Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moulins
Target entity description: Moulins is a historic town in central France known for its well-preserved medieval architecture and cultural heritage.
  • A. Eygues
    Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
  • B. Vaux
    Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
  • C. Chamonix
    Chamonix is a renowned French alpine town and ski resort in the Haute-Savoie region, famous for its dramatic mountain scenery and mountaineering history.
  • D. Prévessin-Moëns
    Prévessin-Moëns is a French commune in the Ain department of eastern France, located near Geneva and known for its proximity to the CERN research center.
  • E. Vichy
    Vichy is a spa town in central France renowned for its thermal springs, health resorts, and role as the seat of the World War II Vichy regime.
  • 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_69a2575cb1dc8190a01ad332426dc339 completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c4ca0c8819093f63c6371e2d140 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35ea15b9c819086b6569a5d19de86 completed Feb. 28, 2026, 9:31 p.m.
NEDg Description generation batch_69a3604b23bc81908a13ed2b762fe269 completed Feb. 28, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69a360b68d1c8190adf3d3beb2f73960 completed Feb. 28, 2026, 9:40 p.m.
Created at: Feb. 28, 2026, 2:52 a.m.