Triple
T31841168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverley Road station |
E812805
|
entity |
| Predicate | servedByDuringDaytime |
P198627
|
FINISHED |
| Object | Q local |
—
|
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: Q local | Statement: [Beverley Road station, servedByDuringDaytime, Q local]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByDuringDaytime Context triple: [Beverley Road station, servedByDuringDaytime, Q local]
-
A.
servedByAtAllTimes
Indicates that one entity continuously provides service or support to another entity without interruption over the entire relevant time period.
-
B.
servedDuring
Indicates that one entity held a role, position, or performed a function within the time period defined by another entity.
-
C.
servedByLateEveningServicesTo
Indicates that the subject location is provided with transportation or service connections to the object location specifically during late evening hours.
-
D.
servedByAtNight
Indicates that a service or location is operated, attended to, or provided specifically during nighttime hours.
-
E.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
- F. None of above. chosen
Provenance (4 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
| PDg | Predicate description generation | batch_69fef8c2cdd881908c6f44e4dfa5ffd0 |
completed | May 9, 2026, 9:05 a.m. |
Created at: April 30, 2026, 11:49 p.m.