Triple
T7620968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Antwerp F.C. |
E172488
|
entity |
| Predicate | hasJerseyNumberRetired |
P78159
|
FINISHED |
| Object | no widely recognized retired numbers |
—
|
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: no widely recognized retired numbers | Statement: [Royal Antwerp F.C., hasJerseyNumberRetired, no widely recognized retired numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJerseyNumberRetired Context triple: [Royal Antwerp F.C., hasJerseyNumberRetired, no widely recognized retired numbers]
-
A.
leagueRetiredNumberBy
Indicates that a sports league has officially retired a specific jersey number in honor of a particular person or entity.
-
B.
wearsNumberRetiredBy
Indicates that one entity wears a jersey number that has been officially retired in honor of another entity.
-
C.
dateOfJerseyRetirement
Indicates the date on which a team officially retired an athlete’s jersey number.
-
D.
nbaTeamNumberRetiredBy
Indicates that a specific jersey number has been officially retired by a particular NBA team in honor of a player or significant contribution.
-
E.
jerseyNumber
Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:55 p.m.