Triple
T4573752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kookaburra |
E123094
|
entity |
| Predicate | materialUsedInCricketBalls |
P1272
|
FINISHED |
| Object | leather |
—
|
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: leather | Statement: [Kookaburra, materialUsedInCricketBalls, leather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialUsedInCricketBalls Context triple: [Kookaburra, materialUsedInCricketBalls, leather]
-
A.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
B.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
C.
usesWoodBats
Indicates that the subject performs an action or participates in an activity using bats made of wood rather than other materials.
-
D.
usesBatAndBall
Indicates that the action or activity involves the use of both a bat and a ball together.
-
E.
usesBallColor
Indicates that an entity performs an action or operates in a way that depends on or involves the color of a ball.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c89a5c81909a78bf0ac64777ad |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5227063c8190973155a875b013a7 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.