Triple

T6195779
Position Surface form Disambiguated ID Type / Status
Subject Wajo Regency E138504 entity
Predicate containsSettlement P847 FINISHED
Object Sengkang E575439 NE FINISHED

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: Sengkang | Statement: [Wajo Regency, containsSettlement, Sengkang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sengkang
Context triple: [Wajo Regency, containsSettlement, Sengkang]
  • A. Sengkang chosen
    Sengkang is a town in South Sulawesi, Indonesia, known as an administrative and commercial center in the Wajo area.
  • B. 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.
  • C. Keningau
    Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
  • D. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c243da922c819080d8d37adbb5635e completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:20 p.m.