Triple

T13841787
Position Surface form Disambiguated ID Type / Status
Subject Charles de Gaulle – Étoile E332674 entity
Predicate formerName P65 FINISHED
Object Étoile E65647 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: Étoile | Statement: [Charles de Gaulle – Étoile, formerName, Étoile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Étoile
Context triple: [Charles de Gaulle – Étoile, formerName, Étoile]
  • A. Étoile chosen
    Étoile was the former name of the Paris Métro station now known as Charles de Gaulle–Étoile, located near the Arc de Triomphe at Place Charles de Gaulle.
  • B. Vaucouleurs
    Vaucouleurs is a historic commune in northeastern France, known for its medieval heritage and its association with figures such as Joan of Arc.
  • C. Aurore
    Aurore is a French given name commonly used for women, derived from the Latin word for "dawn."
  • D. Céreste
    Céreste is a small commune in southeastern France’s Alpes-de-Haute-Provence department, known for its picturesque Provençal landscape and historic village setting.
  • E. Le Dorat
    Le Dorat is a historic small town in west-central France known for its medieval architecture and Romanesque collegiate church.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c7062f548190a6a8d06ef2eefc9f completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:13 p.m.