Triple
T7667183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USA Baseball Collegiate National Team |
E173650
|
entity |
| Predicate | rosterTurnover |
P78673
|
FINISHED |
| Object | annual |
—
|
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: annual | Statement: [USA Baseball Collegiate National Team, rosterTurnover, annual]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rosterTurnover Context triple: [USA Baseball Collegiate National Team, rosterTurnover, annual]
-
A.
recruitmentChange
Indicates a change in the status, level, or conditions of recruitment associated with an entity or process.
-
B.
rosterSize
Indicates the total number of individuals included on a given roster.
-
C.
teamTenure
Indicates the duration or length of time an entity has been part of a particular team.
-
D.
hasRetiredPlayersFrom
Indicates that an entity has players who previously played for it and have since retired, originating from the specified source entity (e.g., team, league, or country).
-
E.
turnout
Indicates the number or proportion of participants who attend or take part in an event or activity.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7063cfd78819095c6501fe8d57312 |
completed | March 27, 2026, 10:35 p.m. |
Created at: March 27, 2026, 4 p.m.