Triple
T24712261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metra Western Avenue Yard |
E612061
|
entity |
| Predicate | railOperatorType |
P38622
|
FINISHED |
| Object | commuter rail |
—
|
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: commuter rail | Statement: [Metra Western Avenue Yard, railOperatorType, commuter rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railOperatorType Context triple: [Metra Western Avenue Yard, railOperatorType, commuter rail]
-
A.
hasRailTransportOperator
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
B.
railwayCompanyType
chosen
Indicates the specific category or classification of a railway company in terms of its role, ownership, or operational type.
-
C.
formerRailOperator
Indicates that an entity previously operated a rail service or railway system but no longer does so.
-
D.
railwayCompany
Indicates that one entity is a railway company that owns, operates, or manages railway services or infrastructure in relation to another entity.
-
E.
railServiceType
Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:24 a.m.