Triple
T6609101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stagecoach Manchester |
E149190
|
entity |
| Predicate | offersTicket |
P43107
|
FINISHED |
| Object | single tickets |
—
|
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: single tickets | Statement: [Stagecoach Manchester, offersTicket, single tickets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersTicket Context triple: [Stagecoach Manchester, offersTicket, single tickets]
-
A.
offersPass
chosen
Indicates that one entity provides or makes available a pass (such as a ticket, permit, or access credential) to another entity.
-
B.
offersEvent
Indicates that an entity provides or makes available a specific event.
-
C.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of another entity.
-
D.
offersAccess
Indicates that one entity provides another entity with the ability or permission to use, enter, or interact with a resource, service, or location.
-
E.
offersAward
Indicates that one entity grants or makes available an award or prize to another entity.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cf3796d08190a26e988386089447 |
completed | March 27, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69c6acfed25481909cac74c84a9fe088 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:57 p.m.