Triple
T31565174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zone E (Metra) |
E805389
|
entity |
| Predicate | fareSystemIntroducedBy |
P395
|
FINISHED |
| Object | Metra |
—
|
NE NERFINISHED |
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 | Statement: [Zone E (Metra), fareSystemIntroducedBy, Metra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fareSystemIntroducedBy Context triple: [Zone E (Metra), fareSystemIntroducedBy, Metra]
-
A.
fareSystem
chosen
Indicates a relationship where a system is used to determine, collect, or manage fares or payments for transportation or similar services.
-
B.
fareSystemPreviously
Indicates that a particular fare system existed or was in use at an earlier time relative to another fare system or time period.
-
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.
fareSystemUse
Indicates the use or application of a particular fare system for travel, ticketing, or pricing.
-
E.
hasFareControlIntegrationSince
Indicates that a fare control system has been integrated with another system or entity starting from a specific point in time.
- 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_69f348d2ee94819091918d1789398c29 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:17 p.m.