Triple

T10895058
Position Surface form Disambiguated ID Type / Status
Subject Kizh E257286 entity
Predicate missionName P10665 FINISHED
Object Gabrielino E257285 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: Gabrielino | Statement: [Kizh, missionName, Gabrielino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabrielino
Context triple: [Kizh, missionName, Gabrielino]
  • A. Gabrielino chosen
    Gabrielino refers to the Indigenous Tongva people native to the Los Angeles Basin and Southern Channel Islands in California.
  • B. Gavicalis
    Gavicalis is a genus of Australasian honeyeaters, comprising small to medium-sized nectar-feeding birds known for their brush-tipped tongues and association with flowering habitats.
  • C. Guereda
    Guereda is a town in eastern Chad that serves as an administrative and market center in the Wadi Fira region.
  • D. Cadaval
    Cadaval is a municipality and town in western Portugal known for its agricultural landscape and proximity to the Montejunto mountain range.
  • E. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d0153408190bcba2d9b03d78804 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15519e620819090e492861de6a567 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:21 p.m.