Triple
T6850374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Happy Slam |
E157999
|
entity |
| Predicate | associatedWithSurface |
P58186
|
FINISHED |
| Object | hard court |
—
|
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: hard court | Statement: [The Happy Slam, associatedWithSurface, hard court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSurface Context triple: [The Happy Slam, associatedWithSurface, hard court]
-
A.
usesSurface
chosen
Indicates that one entity employs or interacts with another entity as a surface or platform for its action or function.
-
B.
associatedWithFront
Indicates a relationship where one entity is linked or connected specifically to the front part, side, or face of another entity.
-
C.
associatedWithMaterial
Indicates a relationship where something is linked or connected to a particular material, typically as its substance, component, or relevant physical medium.
-
D.
associatedPlane
Indicates a relationship where one entity is linked or connected to a specific plane, typically as the plane it uses, refers to, or is defined with respect to.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84c45708190918adfc028252400 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.