Triple
T34530522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metra fare zone H |
E886523
|
entity |
| Predicate | fareUpdateMechanism |
P124810
|
FINISHED |
| Object | Metra fare tariff changes |
—
|
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: Metra fare tariff changes | Statement: [Metra fare zone H, fareUpdateMechanism, Metra fare tariff changes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareUpdateMechanism Context triple: [Metra fare zone H, fareUpdateMechanism, Metra fare tariff changes]
-
A.
fareSystemChange
Indicates a change in the rules, structure, or method by which fares are calculated, collected, or applied.
-
B.
fareRevision
chosen
Indicates a change or adjustment made to an existing fare, such as updating its price, conditions, or structure.
-
C.
fareSystemFeature
Indicates that a fare system possesses or supports a particular feature, function, or characteristic related to how fares are calculated, managed, or used.
-
D.
fareControl
Indicates that an entity is responsible for monitoring, enforcing, or managing payment of fares for access to a service or facility.
-
E.
fareSystemPreviously
Indicates that a particular fare system existed or was in use at an earlier time relative to another fare system or time period.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fbecabc8190956d708dbf2d2c48 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.