Triple

T5232556
Position Surface form Disambiguated ID Type / Status
Subject Minangkabau Highlands E118144 entity
Predicate hasMajorTown P316 FINISHED
Object Bukittinggi E125543 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: Bukittinggi | Statement: [Minangkabau Highlands, hasMajorTown, Bukittinggi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukittinggi
Context triple: [Minangkabau Highlands, hasMajorTown, Bukittinggi]
  • A. Bukittinggi chosen
    Bukittinggi is a historic highland city in West Sumatra, Indonesia, renowned as a major hub of Minangkabau culture, history, and tourism.
  • B. Bajawa
    Bajawa is a small highland town in central Flores, Indonesia, known for its cool climate, traditional Ngada culture, and nearby volcanic and megalithic sites.
  • C. Padang
    Padang is a major coastal city in western Indonesia known as the capital of West Sumatra and a cultural and culinary center of the Minangkabau people.
  • D. Padang Besar
    Padang Besar is a border town in northern Malaysia known as a key land gateway and trading hub between Malaysia and Thailand.
  • 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_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_69bef8154940819098ed76e14804f4b3 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.