Triple

T11966607
Position Surface form Disambiguated ID Type / Status
Subject Naranjito E284804 entity
Predicate followedBy P78 FINISHED
Object Pique E306749 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: Pique | Statement: [Naranjito, followedBy, Pique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pique
Context triple: [Naranjito, followedBy, Pique]
  • A. Pique chosen
    Pique is the jalapeño pepper–shaped cartoon character who served as the official mascot of the 1986 FIFA World Cup in Mexico.
  • B. Pichel
    Pichel is a surname most notably associated with Irving Pichel, an American actor and film director active in early Hollywood cinema.
  • C. Piripiri
    Piripiri is a municipality in the Brazilian state of Piauí, known for its regional commerce and proximity to natural attractions such as the Sete Cidades National Park.
  • D. Fiquet
    Fiquet is a French surname most notably borne by Hortense Fiquet, the model and wife of painter Paul Cézanne.
  • E. Pique Longue
    Pique Longue is the highest summit of the Vignemale massif in the central Pyrenees, straddling the border between France and Spain.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037adf5881908abe1a4e64a71f20 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f45952f69c8190a8c7f3c327ea1a63 completed May 1, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:46 p.m.