Triple
T36798404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polski Trambesh |
E909250
|
entity |
| Predicate | hasTransportRoleIn |
P194193
|
FINISHED |
| Object | Veliko Tarnovo Province |
—
|
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: Veliko Tarnovo Province | Statement: [Polski Trambesh, hasTransportRoleIn, Veliko Tarnovo Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportRoleIn Context triple: [Polski Trambesh, hasTransportRoleIn, Veliko Tarnovo Province]
-
A.
hasRoleInTransport
chosen
Indicates that an entity participates in a transport process by holding a specific functional role within that transport.
-
B.
hasCargoRole
Indicates that an entity participates in a cargo-related capacity or function within a transport, shipment, or logistics context.
-
C.
hasIntermodalRole
Indicates that an entity plays a specific role or function within an intermodal (multi-mode) transportation or logistics context.
-
D.
hasTransportAuthority
Indicates that one entity holds official power or responsibility to manage, regulate, or oversee transportation services or infrastructure for another entity or area.
-
E.
hasPassengerRole
Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00037bf4148190a58593d30efdd3f8 |
completed | May 10, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_6a0000b7af608190b718fc4111bcdad8 |
completed | May 10, 2026, 3:51 a.m. |
Created at: May 3, 2026, 4:12 p.m.