Triple
T16337517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States |
E396712
|
entity |
| Predicate | hasProfessionalBaseballInfrastructure |
P587
|
FINISHED |
| Object | MLB ballparks |
—
|
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: MLB ballparks | Statement: [United States, hasProfessionalBaseballInfrastructure, MLB ballparks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProfessionalBaseballInfrastructure Context triple: [United States, hasProfessionalBaseballInfrastructure, MLB ballparks]
-
A.
usesBaseballStadium
Indicates that an entity regularly occupies or operates within a particular baseball stadium as its primary venue or facility.
-
B.
hasInternationalBaseballCenter
Indicates that an entity possesses or hosts an international baseball center as a facility or designated location.
-
C.
hasProfessionalSportsVenue
Indicates that one entity possesses or hosts a venue specifically used for professional sports events.
-
D.
hasBallpark
chosen
Indicates that an entity possesses, is associated with, or includes a specific ballpark as part of its attributes or facilities.
-
E.
foundedAsProfessionalBaseballInCity
Indicates that an entity was established as a professional baseball team located in a specific city.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e524448190870a6ef569017b56 |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.