Triple
T34531674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learfield Sports |
E886554
|
entity |
| Predicate | worksWithPropertyType |
P188134
|
FINISHED |
| Object | college football programs |
—
|
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: college football programs | Statement: [Learfield Sports, worksWithPropertyType, college football programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksWithPropertyType Context triple: [Learfield Sports, worksWithPropertyType, college football programs]
-
A.
worksWith
Indicates that two entities collaborate or perform tasks together in a shared work-related context.
-
B.
ownedPropertyWith
Indicates a relationship where one entity owns a particular property jointly or in association with another entity.
-
C.
propertyTypeOf
Indicates that one entity is the type or category of property to which another entity belongs.
-
D.
propertiesType
Indicates that one entity is classified as a specific type or category of properties associated with another entity.
-
E.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
- F. None of above. chosen
Provenance (4 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fba28684208190921694f23e350c3b |
completed | May 6, 2026, 8:20 p.m. |
Created at: May 1, 2026, 2:02 a.m.