Triple
T32912910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taman Nusa Bestari |
E841929
|
entity |
| Predicate | transportModeAccessible |
P147666
|
FINISHED |
| Object | car |
—
|
LITERAL 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: car | Statement: [Taman Nusa Bestari, transportModeAccessible, car]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportModeAccessible Context triple: [Taman Nusa Bestari, transportModeAccessible, car]
-
A.
transportModeAccess
Indicates that one entity has the ability or permission to use, reach, or be served by a particular mode of transportation.
-
B.
transportModePresent
Indicates that a particular mode of transportation is involved or available in the described context or event.
-
C.
transportAccessType
chosen
Indicates the type or mode of transportation access available or used in a given context.
-
D.
accessibleByPublicTransport
Indicates that a location or entity can be reached using public transportation services such as buses, trains, or trams.
-
E.
hasPublicTransitMode
Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
- F. None of above.
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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: May 1, 2026, 1:19 a.m.