Triple
T25892403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gareth Southgate |
E652370
|
entity |
| Predicate | leagueTitleAsPlayer |
P160949
|
FINISHED |
| Object | won Football League First Division with Crystal Palace 1993–94 |
—
|
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: won Football League First Division with Crystal Palace 1993–94 | Statement: [Gareth Southgate, leagueTitleAsPlayer, won Football League First Division with Crystal Palace 1993–94]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueTitleAsPlayer Context triple: [Gareth Southgate, leagueTitleAsPlayer, won Football League First Division with Crystal Palace 1993–94]
-
A.
leagueTitleCompanion
Indicates a relationship where one entity serves as an associated or companion title to another within the same league or competition context.
-
B.
team2LeagueTitle
Indicates that a second team has won or holds a league championship title.
-
C.
leagueTitleWonAsStaff
Indicates that a person, in a non-playing staff role (e.g., coach or manager), was part of a team that won a league title.
-
D.
leagueName
Indicates the official name assigned to a particular sports league or competitive organization.
-
E.
leagueUsedFor
Indicates that a particular league is utilized as the context, setting, or organizing framework for some activity, event, or 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_69e7ab3c6cc081908de59bfcc28ec19d |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60dfaeebc8190ac01d3a0030acf55 |
completed | May 2, 2026, 2:45 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60c68b02c8190870758d79cdec68b |
completed | May 2, 2026, 2:38 p.m. |
Created at: April 22, 2026, 8:22 a.m.