Triple

T3080750
Position Surface form Disambiguated ID Type / Status
Subject Semarang Tawang railway station E64249 entity
Predicate near P350 FINISHED
Object Semarang port area E64242 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: Semarang port area | Statement: [Semarang Tawang railway station, near, Semarang port area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semarang port area
Context triple: [Semarang Tawang railway station, near, Semarang port area]
  • A. Port of Cirebon
    The Port of Cirebon is a commercial seaport on the north coast of West Java, Indonesia, serving regional trade and transportation for the city of Cirebon and its surrounding areas.
  • B. Port of Tanjung Emas chosen
    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.
  • 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 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.
  • E. 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.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1aaf6d48190af4f9106965589b0 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89443a4819091dafc560b45cc26 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:03 p.m.