Triple

T6195758
Position Surface form Disambiguated ID Type / Status
Subject Wajo Regency E138504 entity
Predicate capital P234 FINISHED
Object Sengkang
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
 E575439 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: Sengkang | Statement: [Wajo Regency, capital, Sengkang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sengkang
Context triple: [Wajo Regency, capital, Sengkang]
  • A. Panangkaran
    Panangkaran was an 8th-century Javanese king of the Sailendra dynasty known for his patronage of Mahayana Buddhism and the construction of major temple complexes in Central Java.
  • B. Keningau
    Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
  • C. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • D. 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.
  • E. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • 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: Sengkang
Triple: [Wajo Regency, capital, Sengkang]
Generated description
Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sengkang
Target entity description: Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
  • A. Panangkaran
    Panangkaran was an 8th-century Javanese king of the Sailendra dynasty known for his patronage of Mahayana Buddhism and the construction of major temple complexes in Central Java.
  • B. Keningau
    Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
  • C. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • D. 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.
  • E. Pakualaman
    Pakualaman is a small hereditary Javanese princely state and court within Yogyakarta, established in the 19th century as a minor parallel to the main sultanate.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0624571508190bd273b4a051fbe41 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f234ffc8190a6e8166e2ac554a8 completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1e32429f48190bc18f4d78f3c79e8 completed March 24, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69c1e4844f848190bf67d916851514bc completed March 24, 2026, 1:10 a.m.
Created at: March 22, 2026, 4:20 p.m.