Triple
T15298860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Table Tennis Federation |
E365731
|
entity |
| Predicate | changedBallMaterialTo |
P118012
|
FINISHED |
| Object | plastic |
—
|
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: plastic | Statement: [International Table Tennis Federation, changedBallMaterialTo, plastic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changedBallMaterialTo Context triple: [International Table Tennis Federation, changedBallMaterialTo, plastic]
-
A.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
B.
exampleMaterial
Indicates that something serves as a representative or illustrative material or sample of something else.
-
C.
usesBallColor
Indicates that an entity performs an action or operates in a way that depends on or involves the color of a ball.
-
D.
usesMaterialBy
Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
-
E.
changedToClad
Indicates that an entity’s state, condition, or appearance has been altered so that it becomes clothed or covered in a particular material or layer.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03686bfb8819080ba0caae652170a |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:15 a.m.