Triple
T36156517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SunRail Zone 1 |
E1045747
|
entity |
| Predicate | farePolicyOf |
P65069
|
FINISHED |
| Object | SunRail |
—
|
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: SunRail | Statement: [SunRail Zone 1, farePolicyOf, SunRail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: farePolicyOf Context triple: [SunRail Zone 1, farePolicyOf, SunRail]
-
A.
farePolicyType
Indicates the type or category of fare policy that governs how prices, rules, or conditions are applied.
-
B.
farePolicySource
Indicates the origin or authority from which a particular fare policy is derived or defined.
-
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.
farePolicyRelatedTo
chosen
Indicates a relationship where a fare policy is associated with, applies to, or governs a particular entity, context, or service.
-
E.
farePolicyAspect
Indicates a specific rule, condition, or feature that characterizes some aspect of a fare policy.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.