Triple
T1142000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheffield Wednesday F.C. |
E23472
|
entity |
| Predicate | wonEnglishLeagueTitle |
P12322
|
FINISHED |
| Object | 1902–03 |
—
|
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: 1902–03 | Statement: [Sheffield Wednesday F.C., wonEnglishLeagueTitle, 1902–03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonEnglishLeagueTitle Context triple: [Sheffield Wednesday F.C., wonEnglishLeagueTitle, 1902–03]
-
A.
wonLeagueTitle
chosen
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
B.
leagueCup
Indicates that an entity is a cup-style competition organized within or by a specific league.
-
C.
championshipLeague
Indicates that an entity is a championship-level competition or league in which teams or individuals compete for a title.
-
D.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
E.
LeagueCupTitles
Indicates the number of league cup championships an entity has won.
- F. None of above.
Provenance (3 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc4d414881908fc636e8ccbc4c34 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.