Triple
T10066046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebak Regency |
E213104
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Rangkasbitung |
E838889
|
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: Rangkasbitung | Statement: [Lebak Regency, containsSettlement, Rangkasbitung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rangkasbitung Context triple: [Lebak Regency, containsSettlement, Rangkasbitung]
-
A.
Rangkasbitung
chosen
Rangkasbitung is the main urban center and administrative hub of Lebak Regency in Banten Province, Indonesia.
-
B.
Cibinong
Cibinong is an urban district in West Java, Indonesia, serving as an administrative and commercial hub within the Greater Jakarta metropolitan area.
-
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.
Parung
Parung is a district-level area in West Java, Indonesia, situated within the suburban region south of Jakarta and administered as part of Bogor Regency.
-
E.
Jatinegara
Jatinegara is a district in East Jakarta, Indonesia, known as a densely populated urban area with significant transportation hubs and historical sites.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff51b108190b6759f651d4ba2d2 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b630ca008190a337660ad8c9d57e |
completed | April 5, 2026, 7:21 p.m. |
Created at: March 30, 2026, 8:58 p.m.