Triple

T6098745
Position Surface form Disambiguated ID Type / Status
Subject Kaili language E135940 entity
Predicate closelyRelatedTo P37 FINISHED
Object Pamona language E143600 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: Pamona language | Statement: [Kaili language, closelyRelatedTo, Pamona language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamona language
Context triple: [Kaili language, closelyRelatedTo, Pamona language]
  • A. Pamona language chosen
    The Pamona language is an Austronesian language spoken by the Pamona people of central Sulawesi, Indonesia.
  • B. Patamona language
    The Patamona language is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in Guyana and northern Brazil.
  • C. Picene language
    The Picene language is an extinct Italic language once spoken by the ancient Piceni people in east-central Italy.
  • D. Hoanya language
    The Hoanya language is an extinct Austronesian language once spoken by the Hoanya people of western Taiwan and classified among the indigenous Formosan 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125475548819086b733a80056eba5 completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.