Triple

T9205666
Position Surface form Disambiguated ID Type / Status
Subject Trenggalek E220969 entity
Predicate borderedBy P224 FINISHED
Object Pacitan Regency E378832 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: Pacitan Regency | Statement: [Trenggalek, borderedBy, Pacitan Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pacitan Regency
Context triple: [Trenggalek, borderedBy, Pacitan Regency]
  • A. Pacitan Regency chosen
    Pacitan Regency is a coastal regency in East Java, Indonesia, known for its beaches, caves, and hilly karst landscapes along the southern coast of Java.
  • B. Pasuruan Regency
    Pasuruan Regency is an administrative region in East Java, Indonesia, known for its agricultural areas, industrial zones, and proximity to Mount Bromo and the provincial capital of Surabaya.
  • C. Purbalingga Regency
    Purbalingga Regency is an administrative region in Central Java, Indonesia, known as the birthplace of national hero General Sudirman.
  • D. Tabanan Regency
    Tabanan Regency is an agricultural and coastal region in western Bali, Indonesia, known for its lush rice terraces and the iconic Tanah Lot sea temple.
  • E. Purbalingga
    Purbalingga is a regency and its capital town in Central Java, Indonesia, known for its manufacturing industries and proximity to mountainous tourist areas.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd947a0a08190966f22a6207c9120 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09b96f0e88190bd80594fe3f769b8 completed April 4, 2026, 5:03 a.m.
Created at: March 30, 2026, 7:26 p.m.