Triple

T12448089
Position Surface form Disambiguated ID Type / Status
Subject West Coast Division of Sabah E297453 entity
Predicate hasMajorUrbanCentre P316 FINISHED
Object Tuaran E700470 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: Tuaran | Statement: [West Coast Division of Sabah, hasMajorUrbanCentre, Tuaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuaran
Context triple: [West Coast Division of Sabah, hasMajorUrbanCentre, Tuaran]
  • A. Tuaran chosen
    Tuaran is a coastal town and district in the Malaysian state of Sabah, known for its ethnically diverse communities, traditional markets, and distinctive local cuisine such as Tuaran noodles.
  • B. Tawau
    Tawau is a coastal town and major economic hub in southeastern Sabah, Malaysia, known for its port, agriculture, and proximity to Indonesia.
  • C. Sandakan
    Sandakan is a coastal city in Sabah, Malaysia, known historically as a major port and gateway to the biodiverse rainforests and wildlife of Borneo.
  • D. Kudat
    Kudat is a coastal town and district in northern Sabah, Malaysia, known as a gateway to the Tip of Borneo and for its fishing and Rungus cultural heritage.
  • E. Labuan
    Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d9e592c81908cf7f3ca170d942c completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f1501448190b0a95d7cd249ca9d completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.