Triple
T13025856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeneponto Regency |
E326303
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Bontosunggu
Bontosunggu is the administrative and economic center of Jeneponto Regency in South Sulawesi, Indonesia.
|
E1016238
|
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: Bontosunggu | Statement: [Jeneponto Regency, capital, Bontosunggu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bontosunggu Context triple: [Jeneponto Regency, capital, Bontosunggu]
-
A.
Narungga
Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
-
B.
Bogangar
Bogangar is a coastal village in northern New South Wales, Australia, known for its proximity to Cabarita Beach and its relaxed seaside lifestyle.
-
C.
Buruanga
Buruanga is a coastal municipality in the province of Aklan in the Philippines, known for its scenic beaches and proximity to the tourist island of Boracay.
-
D.
Sungor
Sungor is the name of an ethnic group native to parts of eastern Chad and western Sudan, known for their distinct language and cultural traditions.
-
E.
Kertosono
Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
- 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: Bontosunggu Triple: [Jeneponto Regency, capital, Bontosunggu]
Generated description
Bontosunggu is the administrative and economic center of Jeneponto Regency in South Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bontosunggu Target entity description: Bontosunggu is the administrative and economic center of Jeneponto Regency in South Sulawesi, Indonesia.
-
A.
Narungga
Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
-
B.
Bogangar
Bogangar is a coastal village in northern New South Wales, Australia, known for its proximity to Cabarita Beach and its relaxed seaside lifestyle.
-
C.
Buruanga
Buruanga is a coastal municipality in the province of Aklan in the Philippines, known for its scenic beaches and proximity to the tourist island of Boracay.
-
D.
Sungor
Sungor is the name of an ethnic group native to parts of eastern Chad and western Sudan, known for their distinct language and cultural traditions.
-
E.
Kertosono
Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11f83d88190bc153dba75db0995 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c43bc75c8190887b8135fbc8bbb5 |
completed | May 3, 2026, 3:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c50cf3c08190b1ef6379f1f96201 |
completed | May 3, 2026, 3:46 a.m. |
Created at: April 9, 2026, 8:53 p.m.