Triple

T23386193
Position Surface form Disambiguated ID Type / Status
Subject Lundayeh people E593886 entity
Predicate populationDistribution P560 FINISHED
Object Sipitang District, Sabah NE NERFINISHED

How this triple was built (3 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: Sipitang District, Sabah | Statement: [Lundayeh people, populationDistribution, Sipitang District, Sabah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sipitang District, Sabah
Context triple: [Lundayeh people, populationDistribution, Sipitang District, Sabah]
  • A. Selangau District
    Selangau District is an administrative district in the central region of Sarawak, Malaysia, falling under the jurisdiction of the larger Sibu Division.
  • B. Manjung District
    Manjung District is a coastal administrative district in the state of Perak, Malaysia, known for its maritime economy, tourism, and nearby island destinations.
  • C. Kubang Pasu District
    Kubang Pasu District is an administrative district in the state of Kedah, Malaysia, known for its growing urban center and agricultural surroundings.
  • D. Dungun District
    Dungun District is an administrative district on the east coast of Terengganu, Malaysia, known for its coastal settlements, rivers, and mixed rural and developing urban areas.
  • E. Kinabatangan District
    Kinabatangan District is a largely rural administrative region in eastern Sabah, Malaysia, known for its extensive rainforest, rich biodiversity, and important wildlife conservation areas.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sipitang District, Sabah
Target entity description: Sipitang District, Sabah is a rural administrative district in southwestern Sabah, Malaysia, bordering Sarawak and Brunei, known for its indigenous communities, coastal landscapes, and forested interior.
  • A. Selangau District
    Selangau District is an administrative district in the central region of Sarawak, Malaysia, falling under the jurisdiction of the larger Sibu Division.
  • B. Manjung District
    Manjung District is a coastal administrative district in the state of Perak, Malaysia, known for its maritime economy, tourism, and nearby island destinations.
  • C. Kubang Pasu District
    Kubang Pasu District is an administrative district in the state of Kedah, Malaysia, known for its growing urban center and agricultural surroundings.
  • D. Dungun District
    Dungun District is an administrative district on the east coast of Terengganu, Malaysia, known for its coastal settlements, rivers, and mixed rural and developing urban areas.
  • E. Kinabatangan District
    Kinabatangan District is a largely rural administrative region in eastern Sabah, Malaysia, known for its extensive rainforest, rich biodiversity, and important wildlife conservation areas.
  • F. None of above. chosen

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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a498286c8190abfa381649812cf0 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.