Triple
T22890002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Jakarta |
E567710
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Senayan area (partly) |
—
|
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 area (partly) | Statement: [Central Jakarta, contains, Senayan area (partly)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senayan area (partly) Context triple: [Central Jakarta, contains, Senayan area (partly)]
-
A.
Senayan
Senayan is a central district in Jakarta, Indonesia, known for its major government buildings, sports complexes, and commercial centers.
-
B.
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.
-
C.
Sriwedari area
The Sriwedari area is a historic cultural district in Surakarta, Indonesia, known for its parks, performance venues, and heritage sites.
-
D.
Rangsit area
The Rangsit area is a major suburban district north of central Bangkok known for its residential communities, universities, and large shopping and commercial centers.
-
E.
Bukit Jambul area
The Bukit Jambul area is a scenic highland viewpoint in Bali known for its terraced rice fields, lush hills, and panoramic vistas over the surrounding countryside.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc479d48190a8218eceaebd6cc8 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.