Triple

T5449678
Position Surface form Disambiguated ID Type / Status
Subject Pekalongan E122337 entity
Predicate hasNickname P39 FINISHED
Object Batik City E521705 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: Batik City | Statement: [Pekalongan, hasNickname, Batik City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batik City
Context triple: [Pekalongan, hasNickname, Batik City]
  • A. Kota Batik chosen
    Kota Batik is a nickname for the Indonesian city of Pekalongan, renowned as a major center of traditional batik textile production.
  • B. Kota Gede
    Kota Gede is a historic district in Yogyakarta, Indonesia, renowned as the former royal center of the Mataram Sultanate and for its traditional Javanese architecture and silver craftsmanship.
  • C. Kota Pahlawan
    Kota Pahlawan is a nickname for the Indonesian city of Surabaya, renowned for its pivotal role and heroism in the country’s struggle for independence.
  • D. Bukittinggi
    Bukittinggi is a historic highland city in West Sumatra, Indonesia, renowned as a major hub of Minangkabau culture, history, and tourism.
  • E. Kota Budaya
    Kota Budaya is a popular nickname for Yogyakarta that highlights its status as a major center of Javanese arts, traditions, and cultural heritage in 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_69bd4640f52c81909e653ec361f66d76 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91dd747c81909892d6a9742d5fc6 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4883bfec8190bb09fff99d017111 completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:07 p.m.