Triple

T6581070
Position Surface form Disambiguated ID Type / Status
Subject Tanjung Pinang E157296 entity
Predicate hasBodyOfWater P1778 FINISHED
Object Bintan Bay E559263 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: Bintan Bay | Statement: [Tanjung Pinang, hasBodyOfWater, Bintan Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bintan Bay
Context triple: [Tanjung Pinang, hasBodyOfWater, Bintan Bay]
  • A. Palu Bay
    Palu Bay is a coastal inlet on the island of Sulawesi in Indonesia, known for its narrow, elongated shape and vulnerability to tsunamis and seismic activity.
  • B. Padang Bay
    Padang Bay is a coastal area and harbor in West Sumatra, Indonesia, known as a key maritime gateway for the city of Padang and nearby islands.
  • C. Bintan chosen
    Bintan is a large Indonesian island in the Riau Archipelago known for its beach resorts, proximity to Singapore, and role as a regional tourism destination.
  • D. Brunei Bay
    Brunei Bay is a shallow, strategically located bay on the northern coast of Borneo, shared mainly by Brunei and Malaysia and known for its mangrove ecosystems and maritime activities.
  • E. Tanjung Benoa
    Tanjung Benoa is a coastal resort area in southern Bali, Indonesia, known for its beaches and water sports activities.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae90c1b081908f851bff1dd19855 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d572c4708190844f4b1abee8ca86 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.