Triple
T7735607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USA Baseball 15U National Team |
E175370
|
entity |
| Predicate | trainingActivities |
P46335
|
FINISHED |
| Object | training camps |
—
|
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: training camps | Statement: [USA Baseball 15U National Team, trainingActivities, training camps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainingActivities Context triple: [USA Baseball 15U National Team, trainingActivities, training camps]
-
A.
earnActivity
Indicates that an entity gains or receives something of value (such as money, points, or rewards) as a result of performing a particular activity.
-
B.
trainingCamps
chosen
Indicates that one entity organizes, hosts, or is associated with training camps for another entity or group.
-
C.
educationalActivity
Indicates an action or relationship in which one entity engages in or provides a learning or teaching activity for another.
-
D.
performActivities
Indicates that an entity carries out or engages in one or more specified activities or tasks.
-
E.
trainingClub
Indicates that one entity serves as a club or organization where the other entity receives training.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:06 p.m.