Triple

T13018943
Position Surface form Disambiguated ID Type / Status
Subject Port of Tanjung Perak E322624 entity
Predicate locatedNear P294 FINISHED
Object Port of Gresik E733384 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: Port of Gresik | Statement: [Port of Tanjung Perak, locatedNear, Port of Gresik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Gresik
Context triple: [Port of Tanjung Perak, locatedNear, Port of Gresik]
  • A. Port of Gresik chosen
    The Port of Gresik is a commercial seaport in Gresik, East Java, Indonesia, serving regional maritime trade and industrial shipping activities.
  • B. Port of Surabaya
    The Port of Surabaya is a major Indonesian seaport on the northern coast of Java that serves as a key commercial and shipping hub in the Asia-Pacific region.
  • C. Port of Banten
    The Port of Banten was a major Southeast Asian trading harbor that served as a key commercial hub for the Sultanate of Banten, connecting regional and international maritime trade routes.
  • D. Port of Pekalongan
    Port of Pekalongan is a coastal commercial and fishing harbor in Pekalongan, Central Java, serving regional maritime trade and the local fishing industry.
  • E. Port of Trisakti
    The Port of Trisakti is a major seaport and key commercial gateway serving the city of Banjarmasin and the surrounding region in South Kalimantan, 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ece22908190a0941e23df7c774d completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c116423881908d0de1e04904fbc3 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:51 p.m.