Triple

T16332904
Position Surface form Disambiguated ID Type / Status
Subject Comte de Clermont E396598 entity
Predicate birthPlace P1 FINISHED
Object Chantilly E384565 NE FINISHED

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: Chantilly | Statement: [Comte de Clermont, birthPlace, Chantilly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chantilly
Context triple: [Comte de Clermont, birthPlace, Chantilly]
  • A. Chantilly
    Chantilly is a suburban community in Fairfax County, Virginia, known for its proximity to Washington, D.C., Dulles International Airport, and the Smithsonian’s National Air and Space Museum Steven F. Udvar-Hazy Center.
  • B. Chantilly, France chosen
    Chantilly, France is a historic town in northern France renowned for its grand Château de Chantilly, extensive art collections, and tradition of fine lace and whipped cream.
  • C. Chantilly Forest
    Chantilly Forest is a historic woodland area in northern France known for its extensive beech and oak forests, hunting traditions, and proximity to the Château de Chantilly.
  • D. Ermont
    Ermont is a suburban commune in the northern outskirts of Paris, France, known for its residential character and transport links into the capital.
  • E. Parilly
    Parilly is a metro station in the Lyon public transport network, located on line D and serving the southeastern suburbs of the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e0b1388190824b286e8452fb32 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026173dc081909e00f6647d1f68b3 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.