Triple

T15324136
Position Surface form Disambiguated ID Type / Status
Subject Brunei Bay E366365 entity
Predicate hasPort P35 FINISHED
Object Labuan Port E47879 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: Labuan Port | Statement: [Brunei Bay, hasPort, Labuan Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labuan Port
Context triple: [Brunei Bay, hasPort, Labuan Port]
  • A. Batam Port
    Batam Port is a major Indonesian seaport on Batam Island that serves as a key maritime and logistics hub near the Singapore Strait.
  • B. Ketapang Port
    Ketapang Port is a major ferry terminal in East Java, Indonesia, serving as a key gateway for sea crossings between Java and Bali.
  • C. Lumut Port
    Lumut Port is a key maritime and industrial port facility located on the west coast of Perak, Malaysia, serving as an important hub for cargo handling and regional trade.
  • D. Labuan
    Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
  • E. Labuan chosen
    Labuan is a federal territory of Malaysia comprising a main island and several smaller ones, known as an offshore financial center and duty-free port off the coast of Borneo.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd5ce0c819093c9a14de549dff6 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e9d14c8190bb095d6d5c8ffd6e completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:16 a.m.