Triple
T2559800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgian Cup |
E57214
|
entity |
| Predicate | typeOfCup |
P40472
|
FINISHED |
| Object | national association football cup |
—
|
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: national association football cup | Statement: [Georgian Cup, typeOfCup, national association football cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCup Context triple: [Georgian Cup, typeOfCup, national association football cup]
-
A.
domesticCup
Indicates that an entity has won or participated in a domestic (national-level) cup competition within its sport or domain.
-
B.
coneType
Indicates the specific category or style of cone associated with an entity (e.g., type, shape, or design of the cone).
-
C.
hasTeeType
Indicates that an entity (typically a golf hole or course) is associated with a specific type or category of tee.
-
D.
berrySize
Indicates the relative magnitude or dimensions of a berry in terms of its physical size.
-
E.
crownType
Indicates the specific style or form of a crown associated with an entity.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd35c6ee88190b6eaa1841d3e99a4 |
completed | March 7, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69abd0caeb488190b0dd8e48d0f2777d |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd35b216881908f4ef32d1c1e5080 |
completed | March 7, 2026, 7:27 a.m. |
Created at: March 6, 2026, 9:48 p.m.