Triple
T12399668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fresno FC |
E296216
|
entity |
| Predicate | brandingSymbol |
P21497
|
FINISHED |
| Object | fox |
—
|
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: fox | Statement: [Fresno FC, brandingSymbol, fox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandingSymbol Context triple: [Fresno FC, brandingSymbol, fox]
-
A.
brandingFeature
Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
-
B.
symbolOnInsignia
chosen
Indicates that a particular symbol appears on or is featured as part of an insignia.
-
C.
brandingNote
Indicates that an entity has an associated note or comment specifically about its branding, such as style, usage, or presentation guidelines.
-
D.
brandingStyle
Indicates the specific visual and stylistic approach used to represent a brand’s identity.
-
E.
brandImage
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9401cbfd481908ee6e765da3d12cb |
completed | April 10, 2026, 6:23 p.m. |
| PD | Predicate disambiguation | batch_69d93ed4cea08190ad374d3f6a798053 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:55 p.m.