Triple
T13293722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinrang Regency |
E316623
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Pinrang |
E316623
|
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: Pinrang | Statement: [Pinrang Regency, capital, Pinrang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinrang Context triple: [Pinrang Regency, capital, Pinrang]
-
A.
Pinrang Regency
chosen
Pinrang Regency is an administrative region on the western coast of South Sulawesi, Indonesia, known for its agricultural activities and coastal landscapes.
-
B.
Parepare
Parepare is a coastal city and important port on the western coast of South Sulawesi, Indonesia.
-
C.
Sipalay
Sipalay is a coastal city in Negros Occidental, Philippines, known for its beaches, diving spots, and laid-back tourism.
-
D.
Dipolog
Dipolog is a coastal city in the Zamboanga Peninsula region of the southern Philippines, known as the "Bottled Sardines Capital of the Philippines."
-
E.
Balanga City
Balanga City is a component city in the province of Bataan, Philippines, known for its historical significance in World War II and its role as the provincial capital.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99078bcf0819083195fb556bcacb2 |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d8ee2081908428339216c43b47 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.