Triple
T21588793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komisi IX DPR RI |
E532723
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Komisi IX |
—
|
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: Komisi IX | Statement: [Komisi IX DPR RI, shortName, Komisi IX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Komisi IX Context triple: [Komisi IX DPR RI, shortName, Komisi IX]
-
A.
Komisi IX
chosen
Komisi IX is a commission of the Indonesian House of Representatives that focuses on labor, health, and population affairs.
-
B.
Komisi VIII
Komisi VIII is a commission of the Indonesian House of Representatives responsible for matters such as religion, social affairs, and disaster management.
-
C.
Komisi X
Komisi X is a commission of the Indonesian House of Representatives responsible for overseeing education, sports, tourism, arts, and culture policy.
-
D.
Komisi XI DPR RI
Komisi XI DPR RI is a commission of the Indonesian House of Representatives responsible for matters related to finance, banking, and national development planning.
-
E.
Komisi IX DPR RI
Komisi IX DPR RI is a commission of Indonesia’s House of Representatives responsible for legislation and oversight in areas such as health, labor, population, and transmigration.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefadb25108190b7a3d2e8dfc8ae60 |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:31 p.m.