Triple

T3058234
Position Surface form Disambiguated ID Type / Status
Subject Pic du Midi d’Ossau E60532 entity
Predicate near P350 FINISHED
Object Gourette E303995 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: Gourette | Statement: [Pic du Midi d’Ossau, near, Gourette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gourette
Context triple: [Pic du Midi d’Ossau, near, Gourette]
  • A. Gourette chosen
    Gourette is a French mountain ski resort village in the Pyrenees, known for its alpine slopes and scenic high-altitude setting.
  • B. Brueys d’Aigalliers
    Brueys d’Aigalliers is the aristocratic French family name most notably borne by Vice-Admiral François-Paul Brueys d’Aigalliers, a prominent naval commander during the French Revolutionary Wars.
  • C. Fletcher
    Fletcher is a surname of English origin borne by numerous notable individuals across fields such as the military, politics, arts, and sports.
  • D. Guardbridge
    Guardbridge is a small Scottish village in Fife, situated near the River Eden and known historically for its paper mill and as a gateway to St Andrews.
  • E. Renault Super Goélette
    The Renault Super Goélette was a light commercial van and truck produced by the French manufacturer Renault, widely used in the 1960s and 1970s for utility and transport purposes.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e162d148190969fb422a45d052c completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0903cc81909a073fe78dbf0b14 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.