Triple
T1586789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlético Ottawa |
E34083
|
entity |
| Predicate | primaryKitPattern |
P5928
|
FINISHED |
| Object | red and white stripes |
—
|
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: red and white stripes | Statement: [Atlético Ottawa, primaryKitPattern, red and white stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryKitPattern Context triple: [Atlético Ottawa, primaryKitPattern, red and white stripes]
-
A.
kitPattern
chosen
Indicates the design or visual pattern featured on a team's kit or uniform.
-
B.
kitType
Indicates the specific category or configuration of a kit associated with an entity or activity.
-
C.
primaryServicePattern
Indicates the main or most typical way in which a service is delivered, structured, or utilized within a given context.
-
D.
hatPattern
Indicates that one entity has a hat characterized by a specific pattern or design.
-
E.
patternFamily
Indicates that one entity belongs to, or is categorized within, a family or group of related patterns defined by the other 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93aedd45c819085843ac843d640e8 |
completed | March 5, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69a907bdc19081908c84c5c0aa09e282 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.