Triple

T7318238
Position Surface form Disambiguated ID Type / Status
Subject Penan E168468 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: [Penan, relatedEthnicGroup, Kenyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kenyah
Context triple: [Penan, 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef18b7bc81908a9ee405d684f304 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eef847948190a0f2066008f63efd completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3:02 p.m.