Triple
T37417881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metra fare zones |
E929765
|
entity |
| Predicate | fareAdjustment |
P124810
|
FINISHED |
| Object | periodically revised by Metra Board |
—
|
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: periodically revised by Metra Board | Statement: [Metra fare zones, fareAdjustment, periodically revised by Metra Board]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareAdjustment Context triple: [Metra fare zones, fareAdjustment, periodically revised by Metra Board]
-
A.
fareRevision
chosen
Indicates a change or adjustment made to an existing fare, such as updating its price, conditions, or structure.
-
B.
fareFlexibility
Indicates how easily a fare can be changed, canceled, or refunded, and under what conditions or penalties.
-
C.
fareIncreasesRequire
Indicates that any increase in fare is contingent upon or must be accompanied by a specified requirement or condition.
-
D.
fareSystemChange
Indicates a change in the rules, structure, or method by which fares are calculated, collected, or applied.
-
E.
fareAppliesTo
Indicates that a specific fare is applicable to a particular trip, service, passenger category, or travel condition.
- 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.