Triple
T13715745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C09 |
E328892
|
entity |
| Predicate | fareSystemUse |
P111294
|
FINISHED |
| Object | station identification |
—
|
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: station identification | Statement: [C09, fareSystemUse, station identification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareSystemUse Context triple: [C09, fareSystemUse, station identification]
-
A.
fareSystem
Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
-
B.
fareZoneUsage
Indicates how a fare zone is applied or utilized within a transportation or pricing context.
-
C.
fareContext
Indicates the pricing or fare-related conditions under which a transaction, service, or travel arrangement is applied.
-
D.
fareType
Indicates the category or class of fare (such as standard, discounted, or promotional) that applies to a given trip, ticket, or pricing instance.
-
E.
usesFareMedium
Indicates that an entity employs a particular fare medium (such as a ticket, card, or pass) as the method of payment or validation for a trip or service.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43973cf08190a417d0cca9dd314a |
completed | April 13, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:54 p.m.