Triple

T6776733
Position Surface form Disambiguated ID Type / Status
Subject Paresí–Xingu subgroup E155576 entity
Predicate hasMember P10 FINISHED
Object Paresí language E155580 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: Paresí language | Statement: [Paresí–Xingu subgroup, hasMember, Paresí language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paresí language
Context triple: [Paresí–Xingu subgroup, hasMember, Paresí language]
  • A. Paresí language chosen
    The Paresí language is an indigenous Arawakan language spoken by the Paresí (Haliti) people of Brazil’s Mato Grosso region.
  • B. Picene language
    The Picene language is an extinct Italic language once spoken by the ancient Piceni people in east-central Italy.
  • C. Piipaash language
    The Piipaash language is a Native American language of the Yuman family traditionally spoken by the Piipaash (Maricopa) people of the lower Colorado River region in the southwestern United States.
  • D. Parachi language
    The Parachi language is an endangered Eastern Iranian language spoken by a small community in eastern Afghanistan, closely related to other Pamir languages.
  • E. Patelia language
    The Patelia language is a regional Indo-Aryan tribal language variety associated with the Bhil communities of western India.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26725208190b64935cfd08b2aff completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712cc9ff08190bb7ec0bf4cc4db01 completed March 27, 2026, 11:29 p.m.
Created at: March 27, 2026, 2:13 p.m.