Triple
T9340029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second-team All-Pro |
E224739
|
entity |
| Predicate | teamSizeDependsOn |
P55075
|
FINISHED |
| Object | offensive positions |
—
|
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: offensive positions | Statement: [Second-team All-Pro, teamSizeDependsOn, offensive positions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamSizeDependsOn Context triple: [Second-team All-Pro, teamSizeDependsOn, offensive positions]
-
A.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
B.
collaborationSize
Indicates the number of participants involved together in a given collaborative relationship or activity.
-
C.
clubSize
Indicates the number of members or participants in a given club.
-
D.
teamConstraint
chosen
Indicates a rule or limitation governing how entities can be grouped, associated, or operate together as a team.
-
E.
teamUpWith
Indicates forming a cooperative partnership or alliance with another entity to work together toward a shared goal.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bae2e2481909effc2dc89a642c5 |
completed | April 1, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:40 p.m.