Triple

T12318278
Position Surface form Disambiguated ID Type / Status
Subject Romane Bohringer E293661 entity
Predicate placeOfBirth P1 FINISHED
Object Pont-Sainte-Maxence 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: Pont-Sainte-Maxence | Statement: [Romane Bohringer, placeOfBirth, Pont-Sainte-Maxence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pont-Sainte-Maxence
Context triple: [Romane Bohringer, placeOfBirth, Pont-Sainte-Maxence]
  • A. Pont-Sainte-Maxence chosen
    Pont-Sainte-Maxence is a commune in northern France known for its historic bridge over the Oise River and its role as a local commercial and transport hub.
  • B. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • C. Nogent-sur-Oise
    Nogent-sur-Oise is a commune in northern France situated in the Oise department, known for its residential character and proximity to the city of Creil.
  • D. Villeparisis
    Villeparisis is a suburban commune in the Île-de-France region of north-central France, located northeast of Paris in the Seine-et-Marne department.
  • E. Gonesse
    Gonesse is a commune in the northeastern suburbs of Paris, France, known historically as a rural town and now as part of the greater 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:53 p.m.