Triple
T36147339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FEI Driving |
E1045486
|
entity |
| Predicate | hasObstacleComponent |
P67904
|
FINISHED |
| Object | cones course |
—
|
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: cones course | Statement: [FEI Driving, hasObstacleComponent, cones course]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObstacleComponent Context triple: [FEI Driving, hasObstacleComponent, cones course]
-
A.
hasObstacleType
chosen
Indicates that an entity is associated with or characterized by a specific type or category of obstacle.
-
B.
hasObstructions
Indicates that one entity is blocking, hindering, or limiting another entity’s movement, function, or access.
-
C.
viewedAsObstacleBy
Indicates that one entity is perceived or treated as an obstacle or hindrance by another entity.
-
D.
hasNeighboringObject
Indicates that one object is located adjacent to or directly next to another object in space.
-
E.
hasObjectiveHazards
Indicates that an entity is associated with concrete, externally verifiable dangers or risks.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.