Triple
T35806738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Ride |
E1035119
|
entity |
| Predicate | impactSurface |
P188139
|
FINISHED |
| Object | wrestling ring mat |
—
|
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: wrestling ring mat | Statement: [Last Ride, impactSurface, wrestling ring mat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactSurface Context triple: [Last Ride, impactSurface, wrestling ring mat]
-
A.
impactPosition
Indicates the specific location or coordinates at which an impact or collision occurs between entities.
-
B.
impactStatus
Indicates the current state or condition of how something has affected or influenced a target.
-
C.
impactOrigin
Indicates that one entity is the source or cause from which the impact or effect on another entity originates.
-
D.
impactBuilding
Indicates that one entity physically collides with or strikes a building, causing an impact event.
-
E.
surfaceDrop
Indicates that one entity moves from being on the surface of another entity to a lower position, typically by falling or dropping off that surface.
- F. None of above. chosen
Provenance (4 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fba28684208190921694f23e350c3b |
completed | May 6, 2026, 8:20 p.m. |
Created at: May 3, 2026, 4:06 p.m.