Triple

T9909299
Position Surface form Disambiguated ID Type / Status
Subject Meudon E185096 entity
Predicate regionCapital P16248 FINISHED
Object Nanterre (department capital) E252395 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: Nanterre (department capital) | Statement: [Meudon, regionCapital, Nanterre (department capital)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanterre (department capital)
Context triple: [Meudon, regionCapital, Nanterre (department capital)]
  • A. Nanterre chosen
    Nanterre is a western suburb of Paris in the Hauts-de-Seine department of France, known as an important administrative and educational center.
  • B. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • C. Nogent-sur-Marne
    Nogent-sur-Marne is a suburban commune in the eastern outskirts of Paris, France, known for its riverside setting along the Marne and its residential character.
  • D. Bar-sur-Seine
    Bar-sur-Seine is a small commune in northeastern France known for its historic architecture and location within the Champagne-producing region of the Aube department.
  • E. Châtenay-Malabry
    Châtenay-Malabry is a suburban commune in the southwestern outskirts of Paris, France, known for its green spaces and residential character.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb51184d08190a0350f2722110811 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20db5979081909b8e292ac6bb7c2f completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.