Triple
T37036700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semantan station |
E916659
|
entity |
| Predicate | hasFeederBusServices |
P39381
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Semantan station, hasFeederBusServices, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeederBusServices Context triple: [Semantan station, hasFeederBusServices, yes]
-
A.
hasBusServices
chosen
Indicates that one location or entity is served by bus routes or bus transportation provided by another.
-
B.
hasCommuterServices
Indicates that a location or facility provides transportation services specifically intended for regular commuters, such as daily or frequent travelers between home and work or school.
-
C.
hasNightBusService
Indicates that a transportation route or stop is served by buses operating during nighttime hours.
-
D.
hasBusRapidTransitFeatures
Indicates that a transportation route or corridor includes design or operational elements characteristic of bus rapid transit systems.
-
E.
hasSuburbanService
Indicates that an entity provides or is connected to a public transportation service specifically serving suburban areas, typically linking suburbs with urban centers.
- 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: May 3, 2026, 4:14 p.m.