Triple

T17138643
Position Surface form Disambiguated ID Type / Status
Subject West Pasaman Regency E415904 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Simpang Empat E1252613 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: Simpang Empat | Statement: [West Pasaman Regency, hasAdministrativeCenter, Simpang Empat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simpang Empat
Context triple: [West Pasaman Regency, hasAdministrativeCenter, Simpang Empat]
  • A. Simpang Empat chosen
    Simpang Empat is the administrative and economic center of West Pasaman Regency in West Sumatra, Indonesia.
  • B. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
  • C. Segambut
    Segambut is a parliamentary constituency and township area in Kuala Lumpur, Malaysia, encompassing both residential and institutional landmarks.
  • D. Pagar Alam
    Pagar Alam is a highland city in southern Sumatra, Indonesia, known for its cool climate, tea plantations, and scenic mountain landscapes near Mount Dempo.
  • E. Padang Panjang
    Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d1277881909325ffd2a7aa4873 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482cd918819082d18b3cb76394cb completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.