Triple
T3782574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OPUS card |
E85452
|
entity |
| Predicate | hasDiscountProgram |
P178
|
FINISHED |
| Object | student fares |
—
|
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: student fares | Statement: [OPUS card, hasDiscountProgram, student fares]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiscountProgram Context triple: [OPUS card, hasDiscountProgram, student fares]
-
A.
hasMembershipProgram
Indicates that an entity offers or participates in a structured membership program, typically providing special access, benefits, or services to enrolled members.
-
B.
hasBeverageProgram
Indicates that an entity offers, manages, or participates in an organized beverage-related offering or initiative.
-
C.
hasPromotionFrom
Indicates that an entity receives or is associated with a promotion that originates from a specified source entity (such as a campaign, organization, or person).
-
D.
hasCoopPrograms
Indicates that an entity offers or participates in cooperative education programs in partnership with other organizations or institutions.
-
E.
offersProgram
chosen
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.