Triple
T36294934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Western Avenue |
E893333
|
entity |
| Predicate | hasRailOperatorNearby |
P121930
|
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: [North Western Avenue, hasRailOperatorNearby, Metra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRailOperatorNearby Context triple: [North Western Avenue, hasRailOperatorNearby, Metra]
-
A.
hasLocalRailOperator
Indicates that a specified rail operator is responsible for providing local or regional rail services within a particular area or network.
-
B.
hasRailTransportOperator
chosen
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
C.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
D.
hasNearbyRailway
Indicates that one entity is located close to a railway associated with or relevant to another entity.
-
E.
hasRailServiceAt
Indicates that a rail transport service operates at or serves a particular location or facility.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: May 3, 2026, 4:09 p.m.