Triple
T25366068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkey women's national football team |
E636102
|
entity |
| Predicate | uefaMember |
P45472
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Turkey women's national football team, uefaMember, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uefaMember Context triple: [Turkey women's national football team, uefaMember, yes]
-
A.
uefaAffiliation
chosen
Indicates that an entity is officially affiliated with, recognized by, or a member of UEFA (the Union of European Football Associations).
-
B.
uefaCode
Indicates the official UEFA-assigned code that identifies a football association, club, or national team within UEFA competitions and records.
-
C.
eurozoneMember
Indicates that an entity is a country that belongs to the Eurozone, i.e., it uses the euro as its official currency within the European Union’s monetary union.
-
D.
EUMemberState
Indicates that an entity is a country that is a member state of the European Union.
-
E.
OSCEMember
Indicates that an entity is a member of, or affiliated with, the OSC (Open Source Community or similarly named organization).
- 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4a10def5c81908f22e5a3c9f22af5 |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:37 p.m.