Triple
T25179139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WAGN |
E630534
|
entity |
| Predicate | operatedRouteTo |
P18593
|
FINISHED |
| Object | Cambridge |
—
|
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: Cambridge | Statement: [WAGN, operatedRouteTo, Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedRouteTo Context triple: [WAGN, operatedRouteTo, Cambridge]
-
A.
operatedRoute
chosen
Indicates that a transportation service or carrier runs or manages a specific route.
-
B.
routeOf
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
-
C.
routeVia
Indicates that a connection, path, or communication between two points is established or carried out through an intermediate location, node, or channel.
-
D.
originalRoute
Indicates that one route is the initial or primary path from which another route is derived, modified, or compared.
-
E.
routeOrganized
Indicates that an entity has arranged or structured a specific route or path according to some plan or criteria.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 21, 2026, 12:35 p.m.