Triple

T5232560
Position Surface form Disambiguated ID Type / Status
Subject Minangkabau Highlands E118144 entity
Predicate hasMajorTown P316 FINISHED
Object Solok E415901 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: Solok | Statement: [Minangkabau Highlands, hasMajorTown, Solok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solok
Context triple: [Minangkabau Highlands, hasMajorTown, Solok]
  • A. Solok chosen
    Solok is a city in the Indonesian province of West Sumatra known for its rice production and scenic highland landscapes.
  • B. Padang Panjang
    Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
  • C. Padang Sidempuan
    Padang Sidempuan is a city in western Indonesia known as a regional center in the southern part of North Sumatra province.
  • D. Binjai
    Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
  • E. Pasaman Regency
    Pasaman Regency is an administrative regency in Indonesia located in the northern part of West Sumatra Province, known for its agricultural economy and diverse ethnic communities.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b0389048190b55b7c44fe657044 completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06b46eac81908b985363733fcd63 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:49 p.m.