Triple
T2837492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İZBAN |
E62384
|
entity |
| Predicate | roleInMobility |
P6821
|
FINISHED |
| Object | reduces road congestion in İzmir |
—
|
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: reduces road congestion in İzmir | Statement: [İZBAN, roleInMobility, reduces road congestion in İzmir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMobility Context triple: [İZBAN, roleInMobility, reduces road congestion in İzmir]
-
A.
transportationRole
chosen
Indicates a role or function that an entity has specifically in the context of providing, operating, or supporting transportation.
-
B.
roleInMovement
Indicates the specific function, position, or contribution an entity has within a broader movement or collective effort.
-
C.
mobilityComponent
Indicates that one entity functions as a mobility-related component or module that enables or affects the movement capabilities of another entity.
-
D.
transportRole
Indicates that an entity participates in a transportation process with a specific functional role (e.g., carrier, passenger, cargo, or operator).
-
E.
mobilityCharacteristic
Indicates a relationship where an entity is described or classified in terms of its movement or transportation-related properties, such as how, how well, or under what conditions it can move or be moved.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeede0488190a9782f55b57559ee |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0ce8b08190ba28c192988f38ce |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.