Triple

T20698649
Position Surface form Disambiguated ID Type / Status
Subject Francis Lai E508718 entity
Predicate placeOfBirth P1 FINISHED
Object Nice, France 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: Nice, France | Statement: [Francis Lai, placeOfBirth, Nice, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nice, France
Context triple: [Francis Lai, placeOfBirth, Nice, France]
  • A. Nice, France chosen
    Nice, France is a major Mediterranean coastal city on the French Riviera known for its picturesque Promenade des Anglais, vibrant arts scene, and historic old town.
  • B. Noailles, France
    Noailles, France is a small commune in northern France known for its historical ties to the noble de Noailles family.
  • C. Douai, France
    Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
  • D. Vertain, France
    Vertain, France is a small commune in the Nord department of northern France, known among cycling fans as the burial place of legendary French cyclist Jean Stablinski.
  • E. La Motte-Servolex, France
    La Motte-Servolex is a commune in the Savoie department of southeastern France, located near Chambéry in the Auvergne-Rhône-Alpes region.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c113e4cc8190aabc11e3f2530e32 completed April 21, 2026, 12:13 a.m.
Created at: April 16, 2026, 12:11 p.m.