Triple
T905892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Ham United F.C. |
E19546
|
entity |
| Predicate | wonUEFAEuropaConferenceLeagueYear |
P22551
|
FINISHED |
| Object | 2023 |
—
|
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: 2023 | Statement: [West Ham United F.C., wonUEFAEuropaConferenceLeagueYear, 2023]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonUEFAEuropaConferenceLeagueYear Context triple: [West Ham United F.C., wonUEFAEuropaConferenceLeagueYear, 2023]
-
A.
UEFACupWinnersCupTitleSeason
Indicates the specific football season in which a team won the UEFA Cup Winners' Cup title.
-
B.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
-
C.
UEFACupRunnersUp
Indicates that an entity finished as the runner-up (losing finalist) in a UEFA Cup competition.
-
D.
EuropeanCupTitles
Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
-
E.
UEFAChampionsLeagueRunnersUp
Indicates that an entity finished in second place (as the losing finalist) in a given season of the UEFA Champions League.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b28ff5948190982c4439eadf9d87 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b3bab5788190a62a0e23a698f7c7 |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:39 p.m.