Triple

T6304671
Position Surface form Disambiguated ID Type / Status
Subject Malaka Regency E141344 entity
Predicate seat P75 FINISHED
Object Betun E584855 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: Betun | Statement: [Malaka Regency, seat, Betun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betun
Context triple: [Malaka Regency, seat, Betun]
  • A. Betun chosen
    Betun is a town in East Nusa Tenggara, Indonesia, serving as the administrative and economic center of Malaka Regency on the island of Timor.
  • B. Bolsward
    Bolsward is a historic Frisian city in the Netherlands known for its well-preserved medieval center and canals.
  • C. Biei
    Biei is a picturesque rural town in Hokkaido, Japan, famed for its rolling patchwork hills, flower fields, and scenic landscapes that attract photographers and tourists year-round.
  • D. Garve
    Garve is a small village and railway stop in the Scottish Highlands, situated on the route between Inverness and the west coast.
  • E. Lonsee
    Lonsee is a small municipality in the Alb-Donau district of Baden-Württemberg, Germany, situated on the Swabian Jura near the city of Ulm.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645f26a881909d5746151c0843cc completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603feee388190921239cda3772210 completed March 27, 2026, 4:13 a.m.
Created at: March 22, 2026, 4:28 p.m.