Triple
T22475087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subang Regency |
E555608
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Subang |
—
|
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: Subang | Statement: [Subang Regency, capital, Subang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subang Context triple: [Subang Regency, capital, Subang]
-
A.
Subang
Subang is a town in the state of Selangor, Malaysia, that forms part of the greater Kuala Lumpur metropolitan area and serves as an important suburban and commercial hub.
-
B.
Subang Regency
chosen
Subang Regency is an administrative region in West Java, Indonesia, known for its agricultural production, hot springs, and proximity to both mountainous and coastal areas.
-
C.
Brebes
Brebes is a regency and major urban center in the northwestern part of Central Java, Indonesia, known for its agriculture and salted egg production.
-
D.
Sukabumi
Sukabumi is a city in southwestern West Java, Indonesia, known for its cool climate, surrounding highlands, and proximity to popular natural attractions.
-
E.
Garut
Garut is a regency and town in West Java, Indonesia, known for its Sundanese culture, cool highland climate, and agricultural products such as vegetables and sheep.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be3930c8190ba967196df7e083f |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.