Triple

T21171833
Position Surface form Disambiguated ID Type / Status
Subject Pekalongan Station E521708 entity
Predicate near P350 FINISHED
Object Pekalongan city center 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: Pekalongan city center | Statement: [Pekalongan Station, near, Pekalongan city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekalongan city center
Context triple: [Pekalongan Station, near, Pekalongan city center]
  • A. Pekalongan chosen
    Pekalongan is an Indonesian coastal city on the island of Java renowned as a major center of batik production and textile arts.
  • B. Salatiga
    Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
  • C. Magelang
    Magelang is a city in Central Java, Indonesia, known as the gateway to the famous Borobudur Temple and for its surrounding volcanic and rural landscapes.
  • D. Muntilan
    Muntilan is a town in Central Java, Indonesia, known for its historical and cultural heritage, including several ancient temples and its proximity to Mount Merapi.
  • E. Semarang Old Port area
    The Semarang Old Port area is a historic waterfront district in Semarang, Indonesia, that once served as a key colonial-era trading hub and gateway for maritime commerce.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7271351f08190b609a6c280c9a02a completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.