Triple
T20567715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speaker of the DPD |
E505006
|
entity |
| Predicate | officeLocation |
P40
|
FINISHED |
| Object | Senayan, Jakarta |
—
|
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: Senayan, Jakarta | Statement: [Speaker of the DPD, officeLocation, Senayan, Jakarta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senayan, Jakarta Context triple: [Speaker of the DPD, officeLocation, Senayan, Jakarta]
-
A.
Senayan, Jakarta
chosen
Senayan, Jakarta is a central district in Indonesia’s capital city known for its major government buildings, sports complex, and commercial centers.
-
B.
Cilandak
Cilandak is a district in South Jakarta, Indonesia, known as a primarily residential and commercial area with several educational institutions and office complexes.
-
C.
Parung Panjang
Parung Panjang is a district in Bogor Regency, West Java, Indonesia, known as a growing suburban and industrial area on the outskirts of Greater Jakarta.
-
D.
Cibinong
Cibinong is an urban district in West Java, Indonesia, serving as an administrative and commercial hub within the Greater Jakarta metropolitan area.
-
E.
Jagakarsa
Jagakarsa is a district in the southern part of Jakarta, Indonesia, known for its relatively green residential areas and educational institutions.
- 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a7a3fdc08190a34dcf4c4e51f078 |
completed | April 20, 2026, 10:24 p.m. |
Created at: April 16, 2026, 11:39 a.m.