Triple
T10735127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NJ Transit fare zones |
E253175
|
entity |
| Predicate | fareIncreasesRequire |
P95713
|
FINISHED |
| Object | approval by NJ Transit Board of Directors |
—
|
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: approval by NJ Transit Board of Directors | Statement: [NJ Transit fare zones, fareIncreasesRequire, approval by NJ Transit Board of Directors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareIncreasesRequire Context triple: [NJ Transit fare zones, fareIncreasesRequire, approval by NJ Transit Board of Directors]
-
A.
fareCapping
Indicates a limit on the total amount a rider can be charged for fares over a set period, after which additional trips are free or discounted.
-
B.
increasedCostFor
Indicates that one entity causes or experiences a rise in the cost associated with another entity or activity.
-
C.
fare
Indicates the price or cost required for a person or thing to be transported by a particular mode of travel or service.
-
D.
fareBasis
Indicates the specific fare rule or pricing category that applies to a ticket or travel segment.
-
E.
fareStructure
Indicates the pricing scheme or set of rules that determine how fares are calculated and applied for a given service or trip.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71021cccc8190ba2d3bbd7d50e2a7 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:14 p.m.