Triple
T12647859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dewan Perwakilan Rakyat |
E302077
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | DPR |
E136833
|
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: DPR | Statement: [Dewan Perwakilan Rakyat, shortName, DPR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DPR Context triple: [Dewan Perwakilan Rakyat, shortName, DPR]
-
A.
DPR
chosen
DPR is the commonly used abbreviation for Indonesia’s national legislature, the People's Representative Council.
-
B.
DPR
DPR is the government agency responsible for managing and operating public parks, recreational facilities, and community programs in Washington, D.C.
-
C.
DPR
DPR is the commonly used abbreviation for the California Department of Pesticide Regulation, the state agency responsible for overseeing pesticide sales and use to protect public health and the environment.
-
D.
LDPR
LDPR is a Russian nationalist and right-wing populist political party known for its controversial rhetoric and long-time leadership under Vladimir Zhirinovsky.
-
E.
DPL
DPL is a U.S. government export control list identifying individuals and organizations prohibited from participating in export-related activities.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9615cf6f48190bd0983cf7465ab15 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687bbb408190b80da2d0310f82c5 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:17 p.m.