Triple

T17360057
Position Surface form Disambiguated ID Type / Status
Subject Dumai E422044 entity
Predicate hasPort P35 FINISHED
Object Port of Dumai NE ONNED1

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: Port of Dumai | Statement: [Dumai, hasPort, Port of Dumai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Dumai
Context triple: [Dumai, hasPort, Port of Dumai]
  • A. Dumai Port chosen
    Dumai Port is a major Indonesian seaport on the eastern coast of Sumatra that serves as a strategic hub for regional trade and industrial exports.
  • B. Port of Semayang
    The Port of Semayang is a major seaport serving the city of Balikpapan in East Kalimantan, Indonesia, functioning as an important hub for regional passenger and cargo transport.
  • C. Port of Bengkulu
    The Port of Bengkulu is a key Indonesian seaport on the west coast of Sumatra that handles regional trade and supports the economic activities of the city and province of Bengkulu.
  • D. 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.
  • E. Port of Pekanbaru
    Port of Pekanbaru is a river port facility serving cargo and passenger transport for the city of Pekanbaru in Riau Province, Sumatra, Indonesia.
  • 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4cacd881909fd722068b019f25 completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01955e4cb481909e3193439bb85cd8 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.