Triple

T10277854
Position Surface form Disambiguated ID Type / Status
Subject Asnières-sur-Seine E241014 entity
Predicate hasNeighbour P5707 FINISHED
Object Gennevilliers E390388 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: Gennevilliers | Statement: [Asnières-sur-Seine, hasNeighbour, Gennevilliers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gennevilliers
Context triple: [Asnières-sur-Seine, hasNeighbour, Gennevilliers]
  • A. Gennevilliers chosen
    Gennevilliers is a suburban commune in the northwestern outskirts of Paris, France, known for its large industrial and port areas along the Seine.
  • B. Epinay-sur-Seine
    Epinay-sur-Seine is a suburban commune in the northern outskirts of Paris, France, known for its residential neighborhoods along the Seine River.
  • C. Arcueil
    Arcueil is a suburban commune in the southern outskirts of Paris, France, known historically as a residential area for notable scientists and intellectuals.
  • D. Cormeilles-en-Parisis
    Cormeilles-en-Parisis is a suburban commune in the northwestern outskirts of Paris, France, known for its residential character and views over the Seine valley.
  • 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 (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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d29f0cf08190a2c5e7523d5c731e completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5e2b0408190866bbe9a3a56928b completed May 3, 2026, 4:58 a.m.
Created at: April 6, 2026, 11:37 a.m.