Triple
T12222680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villarreal CF |
E291257
|
entity |
| Predicate | reachedUEFAChampionsLeagueSemiFinal |
P103869
|
FINISHED |
| Object | 2005–06 |
—
|
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: 2005–06 | Statement: [Villarreal CF, reachedUEFAChampionsLeagueSemiFinal, 2005–06]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reachedUEFAChampionsLeagueSemiFinal Context triple: [Villarreal CF, reachedUEFAChampionsLeagueSemiFinal, 2005–06]
-
A.
reachedFA CupSemiFinal
Indicates that an entity (typically a football club) advanced to and participated in the semi-final round of the FA Cup competition.
-
B.
reachedLeagueCupFinal
Indicates that an entity progressed through the competition to participate in the final match of the League Cup.
-
C.
wonChampionsLeagueWith
Indicates that an entity achieved victory in the UEFA Champions League while being a member of or associated with a specified team or organization.
-
D.
wonChampionsLeagueAsPlayer
Indicates that the subject has been part of a team that won the UEFA Champions League in the role of a player.
-
E.
hasQuarterFinalStage
Indicates that a competition or event includes a quarter-final stage in its structure.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d920c3dc9881908c396a4ab34f4836 |
completed | April 10, 2026, 4:09 p.m. |
Created at: April 8, 2026, 9:51 p.m.