Triple

T8838413
Position Surface form Disambiguated ID Type / Status
Subject Kanekes village E210325 entity
Predicate locatedIn P40 FINISHED
Object Banten E661390 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: Banten | Statement: [Kanekes village, locatedIn, Banten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banten
Context triple: [Kanekes village, locatedIn, Banten]
  • A. Banten
    Banten is a province on the western tip of Indonesia’s Java Island, known for its coastal trade history, cultural heritage, and proximity to the capital city Jakarta.
  • B. West Java
    West Java is a populous province on the western part of Indonesia’s Java Island, known for its Sundanese culture, mountainous landscapes, and the metropolitan city of Bandung.
  • C. Lampung
    Lampung is a province at the southern tip of the Indonesian island of Sumatra, known for its coastal landscapes, agriculture, and proximity to the Sunda Strait.
  • D. Banten Regency chosen
    Banten Regency is an administrative region in Indonesia’s Banten Province that encompasses the historic area of Old Banten, once the center of the powerful Banten Sultanate.
  • E. Brebes
    Brebes is a regency and major urban center in the northwestern part of Central Java, Indonesia, known for its agriculture and salted egg production.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606c60ac8190b2b6bd7f042c02f8 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0721430819091abe8c13a745725 completed April 3, 2026, 11:11 a.m.
Created at: March 30, 2026, 6:48 p.m.