Triple

T20797675
Position Surface form Disambiguated ID Type / Status
Subject Deli Serdang Regency E511953 entity
Predicate seat P75 FINISHED
Object Lubuk Pakam 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: Lubuk Pakam | Statement: [Deli Serdang Regency, seat, Lubuk Pakam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubuk Pakam
Context triple: [Deli Serdang Regency, seat, Lubuk Pakam]
  • A. Lubuk Pakam chosen
    Lubuk Pakam is an administrative town in North Sumatra, Indonesia, known as a local governmental and commercial center in the region.
  • B. Lubuk Sikaping
    Lubuk Sikaping is a town in West Sumatra, Indonesia, that serves as the administrative and economic center of Pasaman Regency.
  • C. 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.
  • D. Lubuk Alung
    Lubuk Alung is a town in West Sumatra, Indonesia, known as an important local administrative and transportation hub within Padang Pariaman Regency.
  • E. Lubuk Basung
    Lubuk Basung is the administrative and economic center of Agam 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ae2c4c819087f620df31dc1aba completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:39 p.m.