Triple

T17670787
Position Surface form Disambiguated ID Type / Status
Subject Pagar Alam highlands E440514 entity
Predicate locatedIn P40 FINISHED
Object Pagar Alam NE NERFINISHED

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: Pagar Alam | Statement: [Pagar Alam highlands, locatedIn, Pagar Alam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pagar Alam
Context triple: [Pagar Alam highlands, locatedIn, Pagar Alam]
  • A. Pagar Alam chosen
    Pagar Alam is a highland city in southern Sumatra, Indonesia, known for its cool climate, tea plantations, and scenic mountain landscapes near Mount Dempo.
  • B. Prabumulih
    Prabumulih is a significant urban and economic center in Indonesia’s South Sumatra province, known particularly for its role in the regional oil and gas industry.
  • C. Padang Panjang
    Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
  • D. Panji Saprang
    Panji Saprang is a figure from Javanese legend associated with the mytho-historical lineage surrounding Ken Angrok, the founder of the Singhasari kingdom.
  • E. Simpang Empat
    Simpang Empat is the administrative and economic center of West Pasaman Regency in West Sumatra, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f68a038819084828ff73bcf1fcc completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:59 a.m.