Triple

T3703674
Position Surface form Disambiguated ID Type / Status
Subject Kendari E80839 entity
Predicate drainageBasin P1559 FINISHED
Object Kendari Bay E382354 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: Kendari Bay | Statement: [Kendari, drainageBasin, Kendari Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kendari Bay
Context triple: [Kendari, drainageBasin, Kendari Bay]
  • A. Kendari Bay chosen
    Kendari Bay is a coastal inlet in Southeast Sulawesi, Indonesia, known for bordering the city of Kendari and serving as an important local hub for fishing, transport, and maritime activities.
  • B. Teluk Bone
    Teluk Bone is a large gulf on the eastern side of Sulawesi Island in Indonesia, known for its rich marine biodiversity and important fishing grounds.
  • C. 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.
  • D. Bay of Manado
    The Bay of Manado is a coastal inlet in North Sulawesi, Indonesia, known for its scenic waterfront and proximity to rich marine biodiversity and dive sites.
  • E. Port of Kendari
    The Port of Kendari is a key maritime hub in Southeast Sulawesi, Indonesia, serving as a gateway for regional passenger and cargo transport.
  • 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_69ad8b1793888190a5f70e4b21dc05a1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc54aaac88190b775dba2513b6d4a completed March 8, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f024962881908b5fe52f594a5d03 completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:33 p.m.