Triple
T18738536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandung–Garut railway |
E458229
|
entity |
| Predicate | servedSettlement |
P2741
|
FINISHED |
| Object | Cicalengka |
—
|
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: Cicalengka | Statement: [Bandung–Garut railway, servedSettlement, Cicalengka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cicalengka Context triple: [Bandung–Garut railway, servedSettlement, Cicalengka]
-
A.
Cicalengka
chosen
Cicalengka is a town in West Java, Indonesia, known historically as an administrative center within the Bandung region.
-
B.
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.
-
C.
Cileungsi
Cileungsi is a rapidly developing suburban district in West Java, Indonesia, known for its residential areas, industrial zones, and proximity to Greater Jakarta.
-
D.
Bandung Regency
Bandung Regency is an administrative region in West Java, Indonesia, known for its highland landscapes, cool climate, and proximity to the city of Bandung.
-
E.
Jatinangor
Jatinangor is a town in West Java, Indonesia, known as a major educational hub hosting several prominent university campuses.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768ca990819098102f8522ce401f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.