Triple
T13025857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeneponto Regency |
E326303
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Bontosunggu |
E1016238
|
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: Bontosunggu | Statement: [Jeneponto Regency, seat, Bontosunggu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bontosunggu Context triple: [Jeneponto Regency, seat, Bontosunggu]
-
A.
Bontosunggu
chosen
Bontosunggu is the administrative and economic center of Jeneponto Regency in South Sulawesi, Indonesia.
-
B.
Narungga
Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
-
C.
Bogangar
Bogangar is a coastal village in northern New South Wales, Australia, known for its proximity to Cabarita Beach and its relaxed seaside lifestyle.
-
D.
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.
-
E.
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.
- 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_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_69f6cbcb86148190ad1b19c6e8764397 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:53 p.m.