Triple
T23280345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betawi language |
E588841
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Betawi Pinggiran |
—
|
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 Pinggiran | Statement: [Betawi language, hasDialect, Betawi Pinggiran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betawi Pinggiran Context triple: [Betawi language, hasDialect, Betawi Pinggiran]
-
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.
Nai Abadi
Nai Abadi is a residential neighborhood located within the town of SITE.
-
C.
Sawah Besar
Sawah Besar is an urban district in Central Jakarta, Indonesia, known for its dense residential areas, commercial activity, and historical sites near the city center.
-
D.
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.
-
E.
Pringapus District
Pringapus District is an administrative subdistrict within Semarang Regency in Central Java, Indonesia, known for its mix of rural settlements and growing industrial areas.
- 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.