Triple

T13835850
Position Surface form Disambiguated ID Type / Status
Subject Piquinho E332523 entity
Predicate hasNameInPortuguese P1435 FINISHED
Object Piquinho E332523 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: Piquinho | Statement: [Piquinho, hasNameInPortuguese, Piquinho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piquinho
Context triple: [Piquinho, hasNameInPortuguese, Piquinho]
  • A. Piquinho chosen
    Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
  • B. Raminho
    Raminho is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • C. Pocinho
    Pocinho is a small village and railway terminus in northern Portugal, located along the Douro River and known as a gateway to the scenic Douro Valley wine region.
  • D. Barquinha
    Barquinha is a Brazilian syncretic religious tradition that incorporates the sacramental use of ayahuasca within a blend of Christian, Afro-Brazilian, and Indigenous spiritual practices.
  • E. Pinheirinho
    Pinheirinho is a tight, technical corner on Brazil’s Autódromo José Carlos Pace (Interlagos) circuit, known for challenging braking and overtaking maneuvers in motorsport events.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de029b352081909605baaedc336213 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f234888190bd9d5d403b236105 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.