Triple
T30181761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNER |
E767219
|
entity |
| Predicate | railFranchiseAwardedBy |
P168519
|
FINISHED |
| Object | Office of Passenger Rail Franchising |
—
|
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: Office of Passenger Rail Franchising | Statement: [GNER, railFranchiseAwardedBy, Office of Passenger Rail Franchising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railFranchiseAwardedBy Context triple: [GNER, railFranchiseAwardedBy, Office of Passenger Rail Franchising]
-
A.
awardedToFranchise
Indicates that an award, title, or recognition has been given to a specific franchise.
-
B.
acquiredFranchise
Indicates that one entity has obtained ownership or control of a franchise from another entity or source.
-
C.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed by another entity.
-
D.
franchiseElement
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
-
E.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f42c4708190accbdb72ae9c9816 |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:26 p.m.