Triple

T7167648
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Nanterre E167111 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Colombes E161076 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: Colombes | Statement: [arrondissement of Nanterre, containsAdministrativeTerritorialEntity, Colombes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombes
Context triple: [arrondissement of Nanterre, containsAdministrativeTerritorialEntity, Colombes]
  • A. Colombes chosen
    Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
  • B. Puteaux
    Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
  • C. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • D. Courbevoie
    Courbevoie is a suburban commune in the Hauts-de-Seine department of the Île-de-France region, located just west of central Paris and known for encompassing part of the La Défense business district.
  • E. Bobigny
    Bobigny is a northeastern suburb of Paris that serves as an administrative and transport hub within the Île-de-France region.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85b4410819098c6531229da51d4 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1399616708190968442c5389166cf completed April 4, 2026, 4:17 p.m.
Created at: March 27, 2026, 2:48 p.m.