Triple

T6195780
Position Surface form Disambiguated ID Type / Status
Subject Wajo Regency E138504 entity
Predicate containsSettlement P847 FINISHED
Object Belawa
Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
E575442 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: Belawa | Statement: [Wajo Regency, containsSettlement, Belawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belawa
Context triple: [Wajo Regency, containsSettlement, Belawa]
  • A. Padang Dinka
    Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
  • B. Blahbatuh
    Blahbatuh is a district in Bali, Indonesia, known for its traditional Balinese culture and proximity to important archaeological and historical sites.
  • C. 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.
  • D. Boengkoe
    Boengkoe is an alternative name for the Bungku language, an Austronesian language spoken in Southeast Sulawesi, Indonesia.
  • E. Waingapu
    Waingapu is the main urban and economic center of the Indonesian island of Sumba, serving as a key hub for transportation and regional administration.
  • 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: Belawa
Triple: [Wajo Regency, containsSettlement, Belawa]
Generated description
Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Belawa
Target entity description: Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
  • A. Padang Dinka
    Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
  • B. Blahbatuh
    Blahbatuh is a district in Bali, Indonesia, known for its traditional Balinese culture and proximity to important archaeological and historical sites.
  • C. 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.
  • D. Boengkoe
    Boengkoe is an alternative name for the Bungku language, an Austronesian language spoken in Southeast Sulawesi, Indonesia.
  • E. Waingapu
    Waingapu is the main urban and economic center of the Indonesian island of Sumba, serving as a key hub for transportation and regional administration.
  • 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.