Triple

T6053007
Position Surface form Disambiguated ID Type / Status
Subject Espoir: Sierra de Teruel E134838 entity
Predicate basedOn P98 FINISHED
Object L’Espoir E134838 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: 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. L'Alizé
    L'Alizé is a 2000 French pop song by singer Alizée that became a major hit across Europe and helped launch her international career.
  • C. Courthézon
    Courthézon is a commune in southeastern France’s Vaucluse department, known for its historic village center, wine production in the Côtes du Rhône region, and proximity to Châteauneuf-du-Pape.
  • D. Arielle Ship
    Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
  • E. Point Lenana
    Point Lenana is the third-highest peak of Mount Kenya and a popular, non-technical trekking summit for climbers.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f92b408190b0075766aad315d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d077fe48190af9f896df9028800 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:09 p.m.