Triple

T6942917
Position Surface form Disambiguated ID Type / Status
Subject Kelabit E160720 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Kenyah E159028 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: Kenyah | Statement: [Kelabit, relatedEthnicGroup, Kenyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenyah
Context triple: [Kelabit, relatedEthnicGroup, Kenyah]
  • A. Kenyah chosen
    The Kenyah are an indigenous Dayak ethnic group of Borneo, traditionally living in the interior highlands and river valleys of Sarawak and neighboring regions, known for their longhouse communities and rich oral traditions.
  • B. Bantia
    Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
  • C. Kainan
    Kainan is a coastal city in central Wakayama Prefecture, Japan, known for its traditional industries and scenic seaside setting.
  • D. Kangar
    Kangar is the main administrative and commercial center of the Malaysian state of Perlis.
  • E. Kania
    Kania is a surname of Polish origin borne by various notable individuals in fields such as law, politics, and the arts.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da876c9c8190996f3ff84858e8d1 completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515bb4688190a81bef732676eb4e completed March 28, 2026, 3:56 a.m.
Created at: March 27, 2026, 2:28 p.m.