Triple
T34648982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Florida Ospreys athletic uniform |
E889780
|
entity |
| Predicate | hasWordmarkPlacement |
P48677
|
FINISHED |
| Object | chest |
—
|
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: chest | Statement: [North Florida Ospreys athletic uniform, hasWordmarkPlacement, chest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWordmarkPlacement Context triple: [North Florida Ospreys athletic uniform, hasWordmarkPlacement, chest]
-
A.
logoPlacement
chosen
Indicates the spatial or contextual position where a logo is displayed or applied in relation to another object, surface, or medium.
-
B.
hasBranding
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
C.
brandPosition
Indicates the relative market or perceptual placement of a brand compared to competitors or within a defined category.
-
D.
hasLogoText
Indicates that an entity’s logo includes specific textual content or wording.
-
E.
hasLogoShape
Indicates that an entity’s logo is characterized by or takes the form of a specified geometric or visual shape.
- 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_69f349d825c88190bfc6170ac9281260 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: May 1, 2026, 2:04 a.m.