Triple
T13656556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Cod Baseball League |
E326874
|
entity |
| Predicate | hasAlumniCountApproximate |
P52870
|
FINISHED |
| Object | hundreds of MLB players |
—
|
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: hundreds of MLB players | Statement: [Cape Cod Baseball League, hasAlumniCountApproximate, hundreds of MLB players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlumniCountApproximate Context triple: [Cape Cod Baseball League, hasAlumniCountApproximate, hundreds of MLB players]
-
A.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
B.
hasAlumniNetworkSize
chosen
Indicates the size or extent of the alumni network associated with an entity.
-
C.
hasApproximateStudents
Indicates that an entity is associated with an estimated or approximate number of students, rather than an exact count.
-
D.
hasFacultySizeApprox
Indicates that an institution has an approximate number of faculty members equal to the specified value.
-
E.
hasProfessionalAlumni
Indicates that an institution or organization has alumni who have gone on to work in a specified profession or professional field.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc61d56e4819084ae3c16ecdf4a05 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.