Triple
T24104320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senior Bowl |
E597177
|
entity |
| Predicate | teamDesignationFormer |
P15460
|
FINISHED |
| Object | North team |
—
|
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: North team | Statement: [Senior Bowl, teamDesignationFormer, North team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamDesignationFormer Context triple: [Senior Bowl, teamDesignationFormer, North team]
-
A.
clubFormerName
Indicates that a sports club previously operated under a different official name.
-
B.
formerTeam2Name
Indicates that an entity was previously associated with a second former team identified by this name.
-
C.
team2FormerName
Indicates that the second team entity was previously known by a different name.
-
D.
hasFormerTeam
chosen
Indicates that an entity was previously a member of, played for, or was affiliated with a team in the past but is no longer associated with that team.
-
E.
competitionFormerName
Indicates that a competition previously operated under a different name than its current one.
- 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de1399108190986f604468cd5858 |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:01 p.m.