Triple
T22699199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regent of Klaten |
E561266
|
entity |
| Predicate | nativeLabel |
P657
|
FINISHED |
| Object | Bupati Klaten |
—
|
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: Bupati Klaten | Statement: [Regent of Klaten, nativeLabel, Bupati Klaten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bupati Klaten Context triple: [Regent of Klaten, nativeLabel, Bupati Klaten]
-
A.
Bupati Klaten
chosen
Bupati Klaten is the chief local government leader and highest-ranking public official in Indonesia’s Klaten Regency.
-
B.
Bupati Tabanan
Bupati Tabanan is the chief local government leader and head of the Tabanan Regency administration in Bali, Indonesia.
-
C.
Mayor of Madiun
The Mayor of Madiun is the chief executive official responsible for leading the municipal government and administration of the city of Madiun in Indonesia.
-
D.
Mayor of Semarang
The Mayor of Semarang is the chief executive official responsible for governing and administering the city of Semarang in Central Java, Indonesia.
-
E.
Regent of Kulon Progo
The Regent of Kulon Progo is the chief local government leader and executive head of Kulon Progo Regency in Indonesia’s Yogyakarta Special Region.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178c944748190a0712983f7059114 |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:15 p.m.