Triple
T3119657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wales national football team |
E65150
|
entity |
| Predicate | euroBestResult |
P45473
|
FINISHED |
| Object | semi-finals at UEFA Euro 2016 |
—
|
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: semi-finals at UEFA Euro 2016 | Statement: [Wales national football team, euroBestResult, semi-finals at UEFA Euro 2016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: euroBestResult Context triple: [Wales national football team, euroBestResult, semi-finals at UEFA Euro 2016]
-
A.
euroDebut
Indicates the event or relationship in which an entity makes its first appearance or participation in a European competition or context.
-
B.
wonEuropeanTrophy
Indicates that the subject has achieved victory in a European-level competition or trophy.
-
C.
WorldChampionshipBestResult
Indicates the best performance or highest placement an entity has ever achieved in a world championship competition.
-
D.
europeanCupWinYearWithAjax
Indicates the specific year in which a European Cup (now Champions League) victory occurred with Ajax as the winning team.
-
E.
wonEuropeanChampionship
Indicates that an entity achieved first place or overall victory in a European Championship competition.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4eb6a6081909df41f67999eb4ff |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.