Triple

T20606520
Position Surface form Disambiguated ID Type / Status
Subject Province of Central Java E506325 entity
Predicate containsCity P294 FINISHED
Object Pekalongan E122337 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: Pekalongan | Statement: [Province of Central Java, containsCity, Pekalongan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekalongan
Context triple: [Province of Central Java, containsCity, Pekalongan]
  • 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. Tegal
    Tegal is a coastal city in Central Java, Indonesia, known as a regional transport hub and trading center on the north coast railway line.
  • C. Purwokerto
    Purwokerto is a major town in Central Java, Indonesia, known as a regional economic and educational center and a gateway to nearby highland tourist destinations.
  • D. Purworejo
    Purworejo is a regency in Central Java, Indonesia, known for its agricultural landscape and proximity to the southern coast of Java.
  • E. Blora
    Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad394e8819080185187a8b3de93 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08cd4e11d08190892e48b028426048 completed May 16, 2026, 8:02 p.m.
Created at: April 16, 2026, 11:41 a.m.