Triple
T8910986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Terminals |
E212179
|
entity |
| Predicate | fareRule |
P31871
|
FINISHED |
| Object | valid only to specified central London terminal stations |
—
|
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: valid only to specified central London terminal stations | Statement: [London Terminals, fareRule, valid only to specified central London terminal stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareRule Context triple: [London Terminals, fareRule, valid only to specified central London terminal stations]
-
A.
farePolicyType
Indicates the type or category of fare policy that governs how prices, rules, or conditions are applied.
-
B.
farePolicyRelatedTo
Indicates a relationship where a fare policy is associated with, applies to, or governs a particular entity, context, or service.
-
C.
farePolicySupport
Indicates that there is a policy in place governing fares (such as prices, discounts, or rules) that is recognized, enabled, or supported in the given context.
-
D.
fareAppliesTo
chosen
Indicates that a specific fare is applicable to a particular trip, service, passenger category, or travel condition.
-
E.
farePolicyAuthority
Indicates that an authority or organization is responsible for defining, regulating, or overseeing the fare policy applied to a transportation service or route.
- 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_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. |
Created at: March 30, 2026, 6:55 p.m.