Triple
T25904231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Women’s Euro 2022 |
E652705
|
entity |
| Predicate | broadcasterInUnitedKingdom |
P65008
|
FINISHED |
| Object | BBC Sport |
—
|
NE NERFINISHED |
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: BBC Sport | Statement: [UEFA Women’s Euro 2022, broadcasterInUnitedKingdom, BBC Sport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcasterInUnitedKingdom Context triple: [UEFA Women’s Euro 2022, broadcasterInUnitedKingdom, BBC Sport]
-
A.
broadcasterNationality
Indicates the country or national affiliation associated with a broadcaster.
-
B.
broadcasterCountry
Indicates the country from which a broadcaster operates or holds its primary broadcasting license.
-
C.
broadcastInUnitedKingdomBy
chosen
Indicates that something (such as a program or event) is or was broadcast by a particular broadcaster within the United Kingdom.
-
D.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
E.
notableBroadcaster
Indicates that the subject is a broadcaster who is particularly prominent, influential, or widely recognized.
- 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603bd60c08190b6032dff3bdaf5e3 |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 8:26 a.m.