Triple

T1486858
Position Surface form Disambiguated ID Type / Status
Subject Jakarta E29483 entity
Predicate hasSeaport P3007 FINISHED
Object Tanjung Priok Port 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: Tanjung Priok Port | Statement: [Jakarta, hasSeaport, Tanjung Priok Port]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanjung Priok Port
Context triple: [Jakarta, hasSeaport, Tanjung Priok Port]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Tanjung Balai Karimun Port
    Tanjung Balai Karimun Port is a key maritime gateway and commercial harbor serving the island of Karimun and surrounding areas in Indonesia’s Riau Islands province.
  • 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_69a498da82e08190ba833330d05f380f completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6a3325881909bbc55efc04ad60f completed March 1, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1ca4c4e481909ea0ca76841454b1 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:12 p.m.