Triple
T36194841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tampa Tarpons |
E1047092
|
entity |
| Predicate | organizationLevel |
P133014
|
FINISHED |
| Object | lower-level affiliate |
—
|
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: lower-level affiliate | Statement: [Tampa Tarpons, organizationLevel, lower-level affiliate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationLevel Context triple: [Tampa Tarpons, organizationLevel, lower-level affiliate]
-
A.
organizedAtLevel
Indicates that an entity is structured, arranged, or classified according to a specified hierarchical or categorical level.
-
B.
administrativeUnitLevel
Indicates the hierarchical level or rank of an administrative unit within an overall administrative or governmental structure.
-
C.
ordinationLevel
Indicates the hierarchical rank or degree of authority assigned to an entity within an ordered or structured system.
-
D.
hasOrganLevelOrganization
Indicates that an entity possesses a level of biological organization in which distinct organs are present and functionally integrated.
-
E.
organizationalLevelBelow
chosen
Indicates that one organization or unit operates at a lower hierarchical level than another within the same organizational structure.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:08 p.m.