Triple

T18635552
Position Surface form Disambiguated ID Type / Status
Subject Matra 530 E455535 entity
Predicate assemblyLocation P40 FINISHED
Object Romorantin‑Lanthenay 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: Romorantin‑Lanthenay | Statement: [Matra 530, assemblyLocation, Romorantin‑Lanthenay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romorantin‑Lanthenay
Context triple: [Matra 530, assemblyLocation, Romorantin‑Lanthenay]
  • A. Romorantin-Lanthenay chosen
    Romorantin-Lanthenay is a commune in central France known as a historic town in the Loir-et-Cher department and a gateway to the Sologne region.
  • B. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • C. Montbazon
    Montbazon is a small commune in central France’s Indre-et-Loire department, known for its historic fortress and picturesque setting along the Indre River.
  • D. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • E. Orgeval
    Orgeval is a commune in the Yvelines department of north-central France, known for its residential character and proximity to the Paris metropolitan area.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc80b308190932303231524d372 completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.