Triple

T22900167
Position Surface form Disambiguated ID Type / Status
Subject Gilimanuk Port E568288 entity
Predicate connectsTo P845 FINISHED
Object Ketapang Port NE NERFINISHED

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: Ketapang Port | Statement: [Gilimanuk Port, connectsTo, Ketapang Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ketapang Port
Context triple: [Gilimanuk Port, connectsTo, Ketapang Port]
  • A. Ketapang Port chosen
    Ketapang Port is a major ferry terminal in East Java, Indonesia, serving as a key gateway for sea crossings between Java and Bali.
  • B. Bintulu Port
    Bintulu Port is a major deep-water seaport in Sarawak, Malaysia, serving as a key hub for liquefied natural gas exports and regional maritime trade.
  • C. Port of Pontianak
    The Port of Pontianak is a key Indonesian river and seaport on the Kapuas River in West Kalimantan, serving as a major hub for regional trade and passenger transport.
  • D. Port of Balikpapan
    The Port of Balikpapan is a major Indonesian seaport on the east coast of Borneo that serves as a key hub for regional trade, oil and gas activities, and passenger transport in East Kalimantan.
  • E. Port of Tarakan
    Port of Tarakan is a key seaport in Tarakan, North Kalimantan, Indonesia, serving as an important hub for regional trade, passenger transport, and the oil and gas industry in the surrounding area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1801626488190b7e8ce3301667987 completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.