Triple

T22784513
Position Surface form Disambiguated ID Type / Status
Subject Espoir: Sierra de Teruel E563928 entity
Predicate basedOn P98 FINISHED
Object L'Espoir 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: L'Espoir | Statement: [Espoir: Sierra de Teruel, basedOn, L'Espoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L'Espoir
Context triple: [Espoir: Sierra de Teruel, basedOn, L'Espoir]
  • A. L’Espoir chosen
    L’Espoir is a 1937 novel by André Malraux that portrays the political and human drama of the Spanish Civil War.
  • B. La Victoire
    La Victoire is a small commune located in the northern region of Haiti, known for its rural character and agricultural activities.
  • C. Le Marin
    Le Marin is a coastal town in southern Martinique known for its large marina and role as a major yachting and boating hub in the Caribbean.
  • D. L’Azur
    L’Azur is a celebrated poem by Stéphane Mallarmé, noted for its symbolist exploration of the sky, the infinite, and existential anguish.
  • E. La Brigue
    La Brigue is a small historic village in the Ligurian Alps of southeastern France, known for its medieval architecture and scenic mountain surroundings.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c2f9ba48190996b4c3926728c03 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.