Triple

T17241539
Position Surface form Disambiguated ID Type / Status
Subject Agam Regency E418509 entity
Predicate capital P234 FINISHED
Object Lubuk Basung
Lubuk Basung is the administrative and economic center of Agam Regency in West Sumatra, Indonesia.
E1258530 NE FINISHED

How this triple was built (4 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 Basung | Statement: [Agam Regency, capital, Lubuk Basung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubuk Basung
Context triple: [Agam Regency, capital, Lubuk Basung]
  • A. Lubuk Alung
    Lubuk Alung is a town in West Sumatra, Indonesia, known as an important local administrative and transportation hub within Padang Pariaman Regency.
  • B. Muaro Sijunjung
    Muaro Sijunjung is the main administrative and urban center of Sijunjung Regency in West Sumatra, Indonesia.
  • C. Kepahiang
    Kepahiang is a region in Bengkulu, Sumatra, Indonesia, historically associated with the Rejang people and their traditional Rejang script.
  • D. Gosong Rengat
    Gosong Rengat is a small island area within Indonesia’s Thousand Islands Regency, known as part of the scattered archipelago off the coast of Jakarta.
  • E. Batusangkar
    Batusangkar is a historic town in West Sumatra, Indonesia, known as a cultural center of the Minangkabau people and gateway to the scenic Minangkabau Highlands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lubuk Basung
Triple: [Agam Regency, capital, Lubuk Basung]
Generated description
Lubuk Basung is the administrative and economic center of Agam Regency in West Sumatra, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lubuk Basung
Target entity description: Lubuk Basung is the administrative and economic center of Agam Regency in West Sumatra, Indonesia.
  • A. Lubuk Alung
    Lubuk Alung is a town in West Sumatra, Indonesia, known as an important local administrative and transportation hub within Padang Pariaman Regency.
  • B. Muaro Sijunjung
    Muaro Sijunjung is the main administrative and urban center of Sijunjung Regency in West Sumatra, Indonesia.
  • C. Kepahiang
    Kepahiang is a region in Bengkulu, Sumatra, Indonesia, historically associated with the Rejang people and their traditional Rejang script.
  • D. Gosong Rengat
    Gosong Rengat is a small island area within Indonesia’s Thousand Islands Regency, known as part of the scattered archipelago off the coast of Jakarta.
  • E. Batusangkar
    Batusangkar is a historic town in West Sumatra, Indonesia, known as a cultural center of the Minangkabau people and gateway to the scenic Minangkabau Highlands.
  • F. None of above. chosen

Provenance (5 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e203ec88190a21f38cbb18a14fa completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f388608190b709b1c228a7ba29 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a01718311a48190890c770f571852c8 completed May 11, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a01721f5b9081909a8bc817ba0a5986 completed May 11, 2026, 6:07 a.m.
Created at: April 10, 2026, 5:39 a.m.