Triple

T21085885
Position Surface form Disambiguated ID Type / Status
Subject IDBLW E519485 entity
Predicate geographicScope P82 FINISHED
Object Port of Belawan 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: Port of Belawan | Statement: [IDBLW, geographicScope, Port of Belawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Belawan
Context triple: [IDBLW, geographicScope, Port of Belawan]
  • A. Port of Belawan chosen
    The Port of Belawan is a major Indonesian seaport near Medan in North Sumatra, serving as a key hub for regional and international maritime trade.
  • B. Port of Tanjung Pelepas
    The Port of Tanjung Pelepas is a major Malaysian container port in Johor that serves as a key transshipment hub for global shipping routes.
  • C. Soekarno-Hatta Port
    Soekarno-Hatta Port is a major seaport in Makassar, Indonesia, serving as an important hub for maritime trade and passenger transport in eastern Indonesia.
  • D. 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.
  • E. Tuas Mega Port
    Tuas Mega Port is Singapore’s next-generation, fully automated container terminal complex designed to consolidate and expand the nation’s maritime cargo handling capacity.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7094ad1c08190a4b9d2668a6362b2 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:50 p.m.