Triple
T34735690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vierzon–Bourges railway |
E1001333
|
entity |
| Predicate | passengerServicesOperatedBy |
P28038
|
FINISHED |
| Object | TER Centre-Val de Loire |
—
|
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: TER Centre-Val de Loire | Statement: [Vierzon–Bourges railway, passengerServicesOperatedBy, TER Centre-Val de Loire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passengerServicesOperatedBy Context triple: [Vierzon–Bourges railway, passengerServicesOperatedBy, TER Centre-Val de Loire]
-
A.
operatedPassengerServices
Indicates that an entity provided and managed transportation services specifically for carrying passengers.
-
B.
primaryPassengerOperatorOnRoute
Indicates that an operator is the main provider of passenger services on a specific route.
-
C.
hasPassengerOperator
chosen
Indicates that an entity (such as a vehicle or service) is operated by an organization or person responsible for carrying passengers.
-
D.
hasPassengerServicesTo
Indicates that a transportation provider operates passenger services connecting one location or entity to another.
-
E.
transportOperator
Indicates that an entity is responsible for operating or managing the transportation of people or goods between locations.
- 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_69f76daf739881909ed3554f98a2b433 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 3:59 p.m.