Triple

T20599544
Position Surface form Disambiguated ID Type / Status
Subject Lake Maninjau E506136 entity
Predicate locatedIn P40 FINISHED
Object Agam Regency 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: Agam Regency | Statement: [Lake Maninjau, locatedIn, Agam Regency]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agam Regency
Context triple: [Lake Maninjau, locatedIn, Agam Regency]
  • A. Agam Regency chosen
    Agam Regency is an administrative region in western Indonesia known for its highland landscapes, volcanic scenery, and Minangkabau cultural heritage.
  • B. Karo Regency
    Karo Regency is an administrative region in North Sumatra, Indonesia, known as the homeland of the Karo Batak people and their distinctive language and culture.
  • C. Way Kanan Regency
    Way Kanan Regency is an administrative regency located in the northern part of Lampung Province on the island of Sumatra, Indonesia.
  • D. Tebo Regency
    Tebo Regency is an administrative region in Jambi Province on the island of Sumatra, Indonesia.
  • E. Paser Regency
    Paser Regency is an administrative regency in the southern part of East Kalimantan Province on the island of Borneo in Indonesia, known for its natural resources and diverse indigenous communities.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aa1ef9ac8190b05e23c149529cb9 completed April 20, 2026, 10:35 p.m.
Created at: April 16, 2026, 11:40 a.m.