Triple
T13852808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaya Touré |
E332985
|
entity |
| Predicate | cupTitleWonWithClub |
P111763
|
FINISHED |
| Object | FA Cup with Manchester City |
—
|
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: FA Cup with Manchester City | Statement: [Yaya Touré, cupTitleWonWithClub, FA Cup with Manchester City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cupTitleWonWithClub Context triple: [Yaya Touré, cupTitleWonWithClub, FA Cup with Manchester City]
-
A.
mostChampionshipTitlesClub
Indicates that a club holds the highest number of championship titles within a given competition or context.
-
B.
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.
-
C.
notableAchievementOfClub
Indicates that a particular achievement is recognized as a significant or distinguished accomplishment of a specific club.
-
D.
wonLeagueCup
Indicates that a team or competitor achieved victory in a specific league cup competition or tournament.
-
E.
clubTitleWonWithACMilan
Indicates that a specific club title was won while the person was playing for AC Milan.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02da9460819093a3ec5a3c62ea81 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:14 p.m.