Triple
T34530511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metra fare zone H |
E886523
|
entity |
| Predicate | fareLevelRelativeTo |
P179279
|
FINISHED |
| Object | higher than inner Metra zones |
—
|
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: higher than inner Metra zones | Statement: [Metra fare zone H, fareLevelRelativeTo, higher than inner Metra zones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareLevelRelativeTo Context triple: [Metra fare zone H, fareLevelRelativeTo, higher than inner Metra zones]
-
A.
fareLevelRelativeToZone6
Indicates how the fare level for a given trip or location compares to the standard fare level defined for zone 6.
-
B.
fareLevelRelativeToIntercity
Indicates how the fare level of a given service compares to that of an intercity service (e.g., cheaper, similar, or more expensive).
-
C.
fareLevelComparedToZone1
Indicates how the fare level for a given location or zone compares relative to the fare level in Zone 1.
-
D.
elevationRelativeToFloor
Indicates the vertical distance or height of an entity measured relative to the floor level.
-
E.
feeLevel
Indicates the relative amount or tier of fees associated with a transaction, service, or entity.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 2:02 a.m.