Triple

T12076215
Position Surface form Disambiguated ID Type / Status
Subject Tramway T2 E287554 entity
Predicate passesThrough P225 FINISHED
Object Puteaux 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: Puteaux | Statement: [Tramway T2, passesThrough, Puteaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puteaux
Context triple: [Tramway T2, passesThrough, Puteaux]
  • A. Puteaux chosen
    Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
  • B. Arcueil
    Arcueil is a suburban commune in the southern outskirts of Paris, France, known historically as a residential area for notable scientists and intellectuals.
  • C. Arcueil
    Arcueil is a small river in France that serves as a tributary of the Alagnon.
  • D. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • E. Rueil-Malmaison
    Rueil-Malmaison is a suburban commune in the western outskirts of Paris, France, known for its residential character, historical sites, and role as a base for major corporate headquarters.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045ceeec81909427cae8972eed26 completed April 10, 2026, 2:08 p.m.
Created at: April 8, 2026, 9:48 p.m.