Triple

T21171762
Position Surface form Disambiguated ID Type / Status
Subject Pekalongan Regency E521706 entity
Predicate hasNotableProduct P1448 FINISHED
Object Pekalongan batik 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 batik | Statement: [Pekalongan Regency, hasNotableProduct, Pekalongan batik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekalongan batik
Context triple: [Pekalongan Regency, hasNotableProduct, Pekalongan batik]
  • A. Pekalongan Batik Museum
    Pekalongan Batik Museum is a cultural museum in Pekalongan, Indonesia, dedicated to preserving, exhibiting, and educating the public about the region’s rich batik textile heritage.
  • B. Kota Batik chosen
    Kota Batik is a nickname for the Indonesian city of Pekalongan, renowned as a major center of traditional batik textile production.
  • C. BATIK
    BATIK is the radio callsign used by Batik Air, an Indonesian full-service airline operating domestic and international flights.
  • D. Pekalongan
    Pekalongan is an Indonesian coastal city on the island of Java renowned as a major center of batik production and textile arts.
  • E. Batik
    Batik is a traditional Indonesian textile art characterized by intricate patterns created through a wax-resist dyeing technique.
  • 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.