Triple
T8910985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Terminals |
E212179
|
entity |
| Predicate | typicalTicketText |
P86327
|
FINISHED |
| Object | to London Terminals |
—
|
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: to London Terminals | Statement: [London Terminals, typicalTicketText, to London Terminals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTicketText Context triple: [London Terminals, typicalTicketText, to London Terminals]
-
A.
ticketTypeExample
Indicates that an entity serves as an example or illustrative instance of a particular ticket type.
-
B.
ticket
Indicates that an entity serves as or is associated with a ticket, typically representing authorization, access, or a record for an event, service, or transaction.
-
C.
ticketIncludes
Indicates that a particular ticket grants access to, contains, or covers the specified item, service, or component.
-
D.
ticketOfTarget
Indicates that one entity is a ticket associated with, or issued for, a specific target entity.
-
E.
ticketingCode
Indicates the specific fare or booking code associated with a ticket that defines its pricing, rules, and conditions of use.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6523b9348190a7cefac9e73e2004 |
completed | April 1, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc604965c48190bbb6db0ae8108e67 |
completed | April 1, 2026, 12:01 a.m. |
Created at: March 30, 2026, 6:55 p.m.