Triple

T7901045
Position Surface form Disambiguated ID Type / Status
Subject Sama language E183451 entity
Predicate closelyRelatedTo P37 FINISHED
Object Yakan language E586855 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: Yakan language | Statement: [Sama language, closelyRelatedTo, Yakan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yakan language
Context triple: [Sama language, closelyRelatedTo, Yakan language]
  • A. Yakan language chosen
    The Yakan language is an Austronesian language spoken primarily by the Yakan people of the Sulu Archipelago and nearby areas in the southern Philippines.
  • B. Butuanon language
    The Butuanon language is an Austronesian language spoken primarily in and around Butuan City in Mindanao, Philippines.
  • C. Maranao language
    The Maranao language is an Austronesian language spoken primarily by the Maranao people around Lake Lanao in Mindanao, Philippines.
  • D. Balangao language
    The Balangao language is an Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
  • E. Darug language
    The Darug language is an Indigenous Australian Aboriginal language traditionally spoken by the Darug people of the Sydney region in New South Wales.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3f4c2c81909ae70b0acf4729be completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bbd93348190883c6152f18f8214 completed March 31, 2026, 5:29 a.m.
Created at: March 30, 2026, 5:02 p.m.