Triple

T10079416
Position Surface form Disambiguated ID Type / Status
Subject Situbondo E213858 entity
Predicate roadConnection P385 FINISHED
Object Banyuwangi E189883 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: Banyuwangi | Statement: [Situbondo, roadConnection, Banyuwangi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banyuwangi
Context triple: [Situbondo, roadConnection, Banyuwangi]
  • A. Banyuwangi chosen
    Banyuwangi is a coastal city at the eastern tip of Java, Indonesia, known as a gateway to the Ijen Crater and Bali and for its rich Osing culture.
  • B. Sumenep
    Sumenep is a historic coastal town and regency capital on the eastern end of Madura Island in Indonesia, known for its royal palace, traditional culture, and salt production.
  • C. Situbondo
    Situbondo is a coastal town and regency in eastern Java, Indonesia, known for its proximity to Baluran National Park and its role as a transit point along the island’s northern coastal route.
  • D. Blitar
    Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
  • E. 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.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd031ce748190bb71189afd331979 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3174109988190b703bb5b7c89c5c2 completed April 6, 2026, 2:15 a.m.
Created at: March 30, 2026, 9 p.m.