Triple
T478677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colo-Colo |
E9116
|
entity |
| Predicate | kitSupplier |
P8328
|
FINISHED |
| Object | Adidas |
E3876
|
NE 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: Adidas | Statement: [Colo-Colo, kitSupplier, Adidas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adidas Context triple: [Colo-Colo, kitSupplier, Adidas]
-
A.
Adidas
chosen
Adidas is a global sportswear and equipment company known for its iconic three-stripe branding and production of athletic footwear, apparel, and accessories.
-
B.
Reebok
Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
-
C.
Puma
Puma is a major German sportswear and athletic footwear brand known for its performance-oriented shoes, apparel, and collaborations with high-profile athletes and designers.
-
D.
Under Armour
Under Armour is an American sportswear and athletic footwear company known for its performance apparel and innovative moisture-wicking fabrics.
-
E.
Nike, Inc.
Nike, Inc. is a multinational corporation best known as one of the world’s leading designers, marketers, and distributors of athletic footwear, apparel, and sports equipment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f056459881909749764cc4a7f9e8 |
completed | Feb. 28, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a46c5f07808190aeafebb8e7cd7df9 |
completed | March 1, 2026, 4:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.