Triple
T6939914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R5 Paoli/Thorndale |
E160645
|
entity |
| Predicate | primaryRollingStockOperator |
P67417
|
FINISHED |
| Object | electric multiple units |
—
|
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: electric multiple units | Statement: [R5 Paoli/Thorndale, primaryRollingStockOperator, electric multiple units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRollingStockOperator Context triple: [R5 Paoli/Thorndale, primaryRollingStockOperator, electric multiple units]
-
A.
rollingStockOperator
Indicates that an entity operates or manages rolling stock, such as trains or rail vehicles, in a railway system.
-
B.
primaryCargoOperator
Indicates that an entity serves as the main organization responsible for operating or managing the cargo-related activities of another entity.
-
C.
ownedRollingStock
Indicates that one entity possesses or has ownership rights over specific rolling stock (such as trains, railcars, or locomotives).
-
D.
railwayCarriageOwner
Indicates that one entity is the owner or legal possessor of a particular railway carriage.
-
E.
operatedRollingStockClass
chosen
Indicates that an entity (such as a company or operator) has operated a specific class or type of rolling stock (e.g., trains or rail vehicles).
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:28 p.m.