Triple
T24971680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Champions League 2006–07 |
E624906
|
entity |
| Predicate | countryAllocationBasedOn |
P84967
|
FINISHED |
| Object | UEFA country coefficients |
—
|
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: UEFA country coefficients | Statement: [UEFA Champions League 2006–07, countryAllocationBasedOn, UEFA country coefficients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryAllocationBasedOn Context triple: [UEFA Champions League 2006–07, countryAllocationBasedOn, UEFA country coefficients]
-
A.
allocatesToCountry
Indicates that a resource, amount, or responsibility is assigned or distributed to a specific country.
-
B.
distributionByCountry
chosen
Indicates how something is allocated, spread, or categorized according to different countries.
-
C.
countryTargeted
Indicates that a particular country is the intended object or focus of an action, operation, or influence.
-
D.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
E.
adminCountry
Indicates that one entity serves as the administrative or governing country for another entity.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 6:01 a.m.