Triple

T21244776
Position Surface form Disambiguated ID Type / Status
Subject Port des Eaux-Vives E523575 entity
Predicate location P40 FINISHED
Object Eaux-Vives 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: Eaux-Vives | Statement: [Port des Eaux-Vives, location, Eaux-Vives]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eaux-Vives
Context triple: [Port des Eaux-Vives, location, Eaux-Vives]
  • A. Eaux-Vives chosen
    Eaux-Vives is a lakeside district of Geneva, Switzerland, known for its residential neighborhoods, parks, and proximity to Lake Geneva.
  • B. Aigues-Mortais
    Aigues-Mortais are the inhabitants of Aigues-Mortes, a historic fortified town in the Occitanie region of southern France.
  • C. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • D. Ravières
    Ravières is a small commune in the Yonne department of north-central France, situated in the Burgundy region.
  • E. Boucau
    Boucau is a small commune in southwestern France’s Pyrénées-Atlantiques department, near the Atlantic coast and the city of Bayonne.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7352621488190bd74c57798c7d658 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:47 p.m.