Triple

T12913845
Position Surface form Disambiguated ID Type / Status
Subject Piipaash language E308926 entity
Predicate alternativeName P39 FINISHED
Object Piipaash E63688 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: Piipaash | Statement: [Piipaash language, alternativeName, Piipaash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piipaash
Context triple: [Piipaash language, alternativeName, Piipaash]
  • A. Piipaash chosen
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • B. Piikani
    Piikani are an Indigenous people of the Blackfoot Confederacy traditionally based in the northern Great Plains of North America.
  • C. Penipe
    Penipe is a small town and canton in central Ecuador known for its agricultural economy and proximity to the active Tungurahua volcano.
  • D. Paite
    Paite are an indigenous ethnic community of the broader Mizo group, primarily inhabiting parts of Northeast India and Myanmar, with their own distinct language and cultural traditions.
  • E. Toyapakeh
    Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971a0d6508190bca9668e9e06abfe completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d101e08190b31d6aaaecf96507 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:41 p.m.