Triple
T23280344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betawi language |
E588841
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Betawi Tengah |
—
|
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: Betawi Tengah | Statement: [Betawi language, hasDialect, Betawi Tengah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betawi Tengah Context triple: [Betawi language, hasDialect, Betawi Tengah]
-
A.
Betawi
chosen
Betawi is an Austronesian language spoken primarily by the Betawi people in and around Jakarta, Indonesia, and is closely associated with the city's urban culture and history.
-
B.
Kelapa Gading
Kelapa Gading is a prominent residential and commercial district in North Jakarta known for its shopping malls, dining scene, and planned urban layout.
-
C.
Pesanggrahan
Pesanggrahan is a district in South Jakarta, Indonesia, known primarily as a residential area with growing urban development.
-
D.
South Tangerang
South Tangerang is a rapidly developing satellite city in Indonesia’s Banten province, known as a residential and commercial hub within the Jakarta metropolitan area.
-
E.
Cipayung District
Cipayung District is an administrative district in East Jakarta, Indonesia, known for its mix of residential areas, green spaces, and recreational facilities.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19642b46481909fd455acd2155792 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:51 p.m.