Triple
T14815719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolaka Regency |
E348308
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Kolaka |
E603661
|
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: Kolaka | Statement: [Kolaka Regency, capital, Kolaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolaka Context triple: [Kolaka Regency, capital, Kolaka]
-
A.
Kolaka
chosen
Kolaka is a coastal town and important regional center on the island of Sulawesi in Indonesia, known for its mining activities and role as a transport hub in Southeast Sulawesi.
-
B.
Kasangulu
Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
-
C.
Tual
Tual is the main urban and administrative center of the Kai Islands in Indonesia’s Maluku province.
-
D.
Lewoleba
Lewoleba is the main town and administrative center of Lembata Island in Indonesia’s East Nusa Tenggara province.
-
E.
Sofifi
Sofifi is a small coastal town on Halmahera Island in eastern Indonesia that serves as the administrative center of North Maluku Province.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe0e89c81908c0e1fe2bc3ebcfc |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389598848190ba15e6eea2ba2903 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:49 a.m.