Triple
T5707729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiltern Railways |
E125825
|
entity |
| Predicate | offersTicketType |
P43107
|
FINISHED |
| Object | season 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: season tickets | Statement: [Chiltern Railways, offersTicketType, season tickets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersTicketType Context triple: [Chiltern Railways, offersTicketType, season tickets]
-
A.
offeringType
Indicates the category or nature of what is being offered in a transaction or interaction (e.g., product, service, or other type of offering).
-
B.
offersPlanType
Indicates that one entity provides or makes available a specific type of plan to another entity or in a given context.
-
C.
ticketingProduct
Indicates a relationship where an entity is associated with, or offered as, a ticketing-related product (such as a service or item used for issuing, managing, or selling tickets).
-
D.
offersPass
chosen
Indicates that one entity provides or makes available a pass (such as a ticket, permit, or access credential) to another entity.
-
E.
offersPanelType
Indicates that an entity provides or makes available a specific type of panel as part of its offerings.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024892fd88190a91133fc88365410 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.