Triple

T8527159
Position Surface form Disambiguated ID Type / Status
Subject North Jakarta E201845 entity
Predicate hasPort P35 FINISHED
Object Port of Tanjung Priok E23519 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 Tanjung Priok | Statement: [North Jakarta, hasPort, Port of Tanjung Priok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Tanjung Priok
Context triple: [North Jakarta, hasPort, Port of Tanjung Priok]
  • A. Tanjung Priok chosen
    Tanjung Priok is Indonesia’s busiest and largest seaport, serving as the main maritime gateway to Jakarta and the island of Java.
  • B. 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.
  • 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. 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.
  • E. Port of Tanjung Emas
    The Port of Tanjung Emas is the main seaport serving Semarang and Central Java, Indonesia, handling regional cargo and passenger traffic along the northern coast of Java.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce88f750cc819093c8902b2c285153 completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:16 p.m.