Triple

T20797674
Position Surface form Disambiguated ID Type / Status
Subject Deli Serdang Regency E511953 entity
Predicate capital P234 FINISHED
Object Lubuk Pakam
Lubuk Pakam is an administrative town in North Sumatra, Indonesia, known as a local governmental and commercial center in the region.
E1451241 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 Pakam | Statement: [Deli Serdang Regency, capital, Lubuk Pakam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lubuk Pakam
Context triple: [Deli Serdang Regency, capital, Lubuk Pakam]
  • A. Lubuk Sikaping
    Lubuk Sikaping is a town in West Sumatra, Indonesia, that serves as the administrative and economic center of Pasaman Regency.
  • B. 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.
  • C. Lubuk Alung
    Lubuk Alung is a town in West Sumatra, Indonesia, known as an important local administrative and transportation hub within Padang Pariaman Regency.
  • D. Lubuk Basung
    Lubuk Basung is the administrative and economic center of Agam Regency in West Sumatra, Indonesia.
  • E. 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.
  • 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 Pakam
Triple: [Deli Serdang Regency, capital, Lubuk Pakam]
Generated description
Lubuk Pakam is an administrative town in North Sumatra, Indonesia, known as a local governmental and commercial center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lubuk Pakam
Target entity description: Lubuk Pakam is an administrative town in North Sumatra, Indonesia, known as a local governmental and commercial center in the region.
  • A. Lubuk Sikaping
    Lubuk Sikaping is a town in West Sumatra, Indonesia, that serves as the administrative and economic center of Pasaman Regency.
  • B. 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.
  • C. Lubuk Alung
    Lubuk Alung is a town in West Sumatra, Indonesia, known as an important local administrative and transportation hub within Padang Pariaman Regency.
  • D. Lubuk Basung
    Lubuk Basung is the administrative and economic center of Agam Regency in West Sumatra, Indonesia.
  • E. 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.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2ae2c4c819087f620df31dc1aba completed April 21, 2026, 12:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8c11b348190a15c80b400486e59 completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08f9c9314c81909052d1a2e93d740a completed May 16, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_6a08fa7040d88190b592d4f46249c2c1 completed May 16, 2026, 11:14 p.m.
Created at: April 16, 2026, 12:39 p.m.