Triple

T6561646
Position Surface form Disambiguated ID Type / Status
Subject Uspantek E153796 entity
Predicate hasAutonym P1435 FINISHED
Object Uspanteko E153796 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: Uspanteko | Statement: [Uspantek, hasAutonym, Uspanteko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uspanteko
Context triple: [Uspantek, hasAutonym, Uspanteko]
  • A. Uspantek chosen
    Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
  • B. Utako
    Utako is a busy district in Abuja, Nigeria, known for its major motor parks, commercial activity, and central location within the city.
  • C. Uyugan
    Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
  • D. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • E. Uturuncu
    Uturuncu is a dormant stratovolcano in southwestern Bolivia, notable for its high elevation and signs of ongoing ground uplift that suggest potential magmatic activity beneath it.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb90ffd48190996a64d79f516e2c completed March 27, 2026, 6:25 p.m.
Created at: March 27, 2026, 1:52 p.m.