Triple

T18802964
Position Surface form Disambiguated ID Type / Status
Subject Malaweg E459802 entity
Predicate alternateName P39 FINISHED
Object Malaueg Ibanag NE NERFINISHED

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: Malaueg Ibanag | Statement: [Malaweg, alternateName, Malaueg Ibanag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaueg Ibanag
Context triple: [Malaweg, alternateName, Malaueg Ibanag]
  • A. Saribas Iban
    Saribas Iban is a regional dialect of the Iban language traditionally spoken by Iban communities in the Saribas area of Sarawak, Malaysia.
  • B. Kalepa Baybayan
    Kalepa Baybayan was a renowned Native Hawaiian master navigator and cultural educator known for reviving and teaching traditional Polynesian wayfinding techniques on voyaging canoes such as Hōkūleʻa.
  • C. Umiray Agta
    Umiray Agta is an indigenous Negrito group in the Philippines known for its distinct culture and language, closely related to the Umiray Dumaget language.
  • D. Daguioman
    Daguioman is a rural municipality in the Philippine province of Abra, known for its mountainous terrain and traditional indigenous communities.
  • E. Ibanag chosen
    Ibanag is an Austronesian language spoken primarily in the Cagayan Valley region of northern Luzon in the Philippines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a0253f748190998995e3b1524357 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.