Triple
T21042917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wajo |
E518372
|
entity |
| Predicate | conflictedWith |
P4335
|
FINISHED |
| Object | Gowa |
—
|
NE NERFINISHED |
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: Gowa | Statement: [Wajo, conflictedWith, Gowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gowa Context triple: [Wajo, conflictedWith, Gowa]
-
A.
Gowa Regency
chosen
Gowa Regency is an administrative region in Indonesia known for its historical role as the center of the former Gowa Sultanate and its proximity to the provincial capital, Makassar, in South Sulawesi.
-
B.
Bantaeng Regency
Bantaeng Regency is an administrative region on the southern coast of Sulawesi, Indonesia, known for its agricultural economy and growing tourism sector.
-
C.
Parepare
Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
-
D.
Payakumbuh
Payakumbuh is a city in West Sumatra, Indonesia, known as an important hub of Minangkabau culture, cuisine, and traditional arts.
-
E.
Palopo
Palopo is a coastal city in Indonesia known as an important regional center in the province of South Sulawesi.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf1950081908ff9fe8719e1e81b |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:17 p.m.