Triple
T1602860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UEFA Women's Champions League |
E34433
|
entity |
| Predicate | finalMatchType |
P30656
|
FINISHED |
| Object | single match at neutral venue |
—
|
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: single match at neutral venue | Statement: [UEFA Women's Champions League, finalMatchType, single match at neutral venue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalMatchType Context triple: [UEFA Women's Champions League, finalMatchType, single match at neutral venue]
-
A.
finalMatchImportance
Indicates the degree of significance or impact assigned to the final match within a competition or event.
-
B.
finalMatchDate
Indicates the calendar date on which the final or deciding match in a series, tournament, or competition takes place.
-
C.
finalLeague
Indicates the league or competition in which an entity ultimately ends up or is officially classified, typically after all stages or transitions are complete.
-
D.
finalMatchCity
Indicates the city where the final match of a competition or tournament takes place.
-
E.
matchType
Indicates the specific category or nature of how two or more entities correspond or align with each other within a given context.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a95aada3f881909053363c01de8b57 |
completed | March 5, 2026, 10:29 a.m. |
Created at: March 4, 2026, 7:28 p.m.