Triple

T6184746
Position Surface form Disambiguated ID Type / Status
Subject Iban language E138028 entity
Predicate hasGlottologName P6521 FINISHED
Object Iban E138028 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: Iban | Statement: [Iban language, hasGlottologName, Iban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Iban
Context triple: [Iban language, hasGlottologName, Iban]
  • A. Iban people
    The Iban people are an indigenous Dayak ethnic group of Borneo known for their longhouse communities, rich oral traditions, and history of seafaring and warrior culture.
  • B. Ifo
    Ifo is a town in Ogun State, southwestern Nigeria, known as a historically significant Awori settlement and an important local commercial center.
  • C. Iban language chosen
    The Iban language is an Austronesian language spoken primarily by the Iban people of Borneo, especially in Sarawak, Malaysia, and parts of Kalimantan, Indonesia.
  • D. Sijistan
    Sijistan (also known as Sistan) is a historical region in eastern Iran and southwestern Afghanistan that was an important center of early Islamic scholarship and culture.
  • E. Rahan
    Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c6b5888190983bff620c7663cc completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:19 p.m.