Triple
T11322086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Electric Multiple Unit |
E268117
|
entity |
| Predicate | hasTypicalOperator |
P21524
|
FINISHED |
| Object | commuter rail operator |
—
|
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 operator | Statement: [Electric Multiple Unit, hasTypicalOperator, commuter rail operator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalOperator Context triple: [Electric Multiple Unit, hasTypicalOperator, commuter rail operator]
-
A.
typicalOperatorType
chosen
Indicates the usual or most common type or category of operator associated with a given entity or context.
-
B.
typicalOperator
Indicates that an entity commonly or normally performs operations on, or acts upon, another entity in a standard or expected manner.
-
C.
hasMajorOperator
Indicates that an entity is primarily operated, managed, or run by a specified main operator or organization.
-
D.
isOperatorOn
Indicates that one entity serves as an operator responsible for operating, controlling, or managing another entity (such as a system, machine, or process).
-
E.
typicalOperatorService
Indicates that an entity commonly performs or provides a particular operational service in a standard or expected manner.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.