Triple

T14940581
Position Surface form Disambiguated ID Type / Status
Subject Ngawi Regency E372513 entity
Predicate borders P224 FINISHED
Object Blora Regency E679039 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: Blora Regency | Statement: [Ngawi Regency, borders, Blora Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blora Regency
Context triple: [Ngawi Regency, borders, Blora Regency]
  • A. Blora chosen
    Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
  • B. Sukoharjo Regency
    Sukoharjo Regency is an administrative region in Central Java, Indonesia, known for its agricultural landscape and proximity to the city of Surakarta (Solo).
  • C. 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.
  • D. Blitar Regency
    Blitar Regency is an administrative region in East Java, Indonesia, known for its agricultural landscape, historical sites, and proximity to Mount Kelud.
  • E. Magelang Regency
    Magelang Regency is an administrative region in Central Java, Indonesia, known for its proximity to the Borobudur Temple and its mountainous landscapes surrounding the city of Magelang.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64a2f24819099b21566756668a2 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc2ad1c8190a811bb0c20643309 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:38 a.m.