Triple

T17241578
Position Surface form Disambiguated ID Type / Status
Subject Agam Regency E418509 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Lubuk Basung E1258530 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: Lubuk Basung | Statement: [Agam Regency, hasAdministrativeCentre, Lubuk Basung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubuk Basung
Context triple: [Agam Regency, hasAdministrativeCentre, Lubuk Basung]
  • A. Lubuk Basung chosen
    Lubuk Basung is the administrative and economic center of Agam Regency in West Sumatra, Indonesia.
  • B. Lubuk Alung
    Lubuk Alung is a town in West Sumatra, Indonesia, known as an important local administrative and transportation hub within Padang Pariaman Regency.
  • C. Muaro Sijunjung
    Muaro Sijunjung is the main administrative and urban center of Sijunjung Regency in West Sumatra, Indonesia.
  • D. Kepahiang
    Kepahiang is a region in Bengkulu, Sumatra, Indonesia, historically associated with the Rejang people and their traditional Rejang script.
  • E. Gosong Rengat
    Gosong Rengat is a small island area within Indonesia’s Thousand Islands Regency, known as part of the scattered archipelago off the coast of Jakarta.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e203ec88190a21f38cbb18a14fa completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01793efa288190b63f641381566bb9 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:39 a.m.