Triple
T2559771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erovnuli Liga |
E57213
|
entity |
| Predicate | confederationMembershipType |
P25749
|
FINISHED |
| Object | UEFA member association league |
—
|
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: UEFA member association league | Statement: [Erovnuli Liga, confederationMembershipType, UEFA member association league]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confederationMembershipType Context triple: [Erovnuli Liga, confederationMembershipType, UEFA member association league]
-
A.
confederationType
chosen
Indicates the specific kind or category of confederative relationship that exists between the associated entities.
-
B.
clubMembershipType
Indicates the specific category or level of membership that an entity holds within a club.
-
C.
confersMembershipIn
Indicates that one entity grants or bestows membership status in a group, organization, or category upon another entity.
-
D.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
E.
memberStatesAreMemberOf
Indicates that certain states belong to or hold membership in a particular organization, group, or union.
- 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_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. |
Created at: March 6, 2026, 9:48 p.m.