Triple

T3060641
Position Surface form Disambiguated ID Type / Status
Subject Greater Surabaya metropolitan area E60587 entity
Predicate hasComponent P35 FINISHED
Object Jombang Regency E227436 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: Jombang Regency | Statement: [Greater Surabaya metropolitan area, hasComponent, Jombang Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jombang Regency
Context triple: [Greater Surabaya metropolitan area, hasComponent, Jombang Regency]
  • A. Jombang chosen
    Jombang is a regency-level town in Indonesia known as an important regional center in the province of East Java.
  • B. Tulungagung
    Tulungagung is a regency and urban center in southern East Java, Indonesia, known for its marble industry and coastal landscapes along the Indian Ocean.
  • C. Nganjuk
    Nganjuk is a regency capital and regional urban center in the province of East Java, Indonesia.
  • D. Lamongan
    Lamongan is a regency and its capital town in the northern coastal region of East Java, Indonesia, known for its fishing industry and distinctive local cuisine.
  • E. Probolinggo
    Probolinggo is a coastal city in East Java, Indonesia, known as a common gateway for tourists visiting the Mount Bromo volcanic area.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e9e1e248190b5ed5ebcdad1321e completed March 8, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b324da09888190b3ea7763d3a09d5d completed March 12, 2026, 8:40 p.m.
Created at: March 8, 2026, 3:02 p.m.