Triple
T9369076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clyde F.C. |
E225482
|
entity |
| Predicate | usesRoundBall |
P83082
|
FINISHED |
| Object | association football rules |
—
|
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: association football rules | Statement: [Clyde F.C., usesRoundBall, association football rules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRoundBall Context triple: [Clyde F.C., usesRoundBall, association football rules]
-
A.
usesBallShape
Indicates that one entity employs or incorporates a ball-like (spherical) shape in its form, design, or operation.
-
B.
usesBallColor
Indicates that an entity performs an action or operates in a way that depends on or involves the color of a ball.
-
C.
usesBallSport
chosen
Indicates that an activity or event involves the use of a ball as part of a sport.
-
D.
ballType
Indicates the specific category or kind of ball associated with an entity.
-
E.
hasRound
Indicates that an entity possesses, includes, or is associated with a particular round (e.g., a round of an event, game, or process).
- 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_69ca842cbddc819099d71ecec48cf9e5 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5080f55c8190bd5ca0dc0a4ea989 |
completed | April 1, 2026, 5:06 p.m. |
| PD | Predicate disambiguation | batch_69cc7a6abb8c81908c7a2f4ee92cc949 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:43 p.m.