Triple

T17592354
Position Surface form Disambiguated ID Type / Status
Subject Kiche E428477 entity
Predicate closelyRelatedTo P37 FINISHED
Object Uspantek NE NERFINISHED

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: Uspantek | Statement: [Kiche, closelyRelatedTo, Uspantek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uspantek
Context triple: [Kiche, closelyRelatedTo, Uspantek]
  • A. Uspantek chosen
    Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
  • B. Uzita
    Uzita was a Native American chiefdom or village in present-day Florida that played a notable role in early Spanish exploration of the region.
  • C. Usholta
    Usholta is a small settlement located in the mountainous Racha region of northwestern Georgia, known for its remote rural character.
  • 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. Usuxçay
    Usuxçay is a river in northeastern Azerbaijan that serves as a tributary of the Samur River within the Greater Caucasus region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e79dac8190953a1ce8fc015b20 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.