Triple
T103177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durham Bulls |
E2083
|
entity |
| Predicate | affiliationLevel |
P1906
|
FINISHED |
| Object | Triple-A affiliate of Tampa Bay Rays |
—
|
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: Triple-A affiliate of Tampa Bay Rays | Statement: [Durham Bulls, affiliationLevel, Triple-A affiliate of Tampa Bay Rays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affiliationLevel Context triple: [Durham Bulls, affiliationLevel, Triple-A affiliate of Tampa Bay Rays]
-
A.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
B.
athleticAssociationTier
chosen
Indicates the competitive level or division within an athletic association to which an entity (such as a team or institution) belongs.
-
C.
affiliateLeague
Indicates that one sports organization or team is formally associated with and operates under the umbrella or partnership of a particular league.
-
D.
hasDivisionLevel
Indicates that one entity is associated with a specific hierarchical or organizational division level of another entity.
-
E.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
- 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_69a24e0a5b7c81908d52da08c60dabc4 |
completed | Feb. 28, 2026, 2:08 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2563a6ff48190bec582fb2f99b7af |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:12 a.m.