Triple

T14485604
Position Surface form Disambiguated ID Type / Status
Subject Tipai language E359221 entity
Predicate spokenBy P2181 FINISHED
Object Tipay E359221 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: Tipay | Statement: [Tipai language, spokenBy, Tipay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tipay
Context triple: [Tipai language, spokenBy, Tipay]
  • A. Tipay chosen
    Tipay is an alternative name for the Tipai, a Native American people indigenous to the Baja California region of Mexico and parts of Southern California.
  • B. Tacana
    Tacana is an indigenous language of the Tacana people in Bolivia, primarily spoken in the Amazonian lowlands of the country.
  • C. Cachipay
    Cachipay is a small Colombian municipality in the Cundinamarca department, known for its mild climate and agricultural production in the Andean region.
  • D. Lima Mint
    Lima Mint was a major Spanish colonial mint in Lima, Peru, known for producing silver coins such as the famous pieces of eight during the colonial era.
  • E. Potos
    Potos is a coastal village and popular tourist resort on the Greek island of Thasos in the northern Aegean Sea.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a73cf48190811d6de182e891c4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.