Triple
T22360265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SportChek |
E552759
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Lululemon Athletica |
—
|
NE NERFINISHED |
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: Lululemon Athletica | Statement: [SportChek, hasCompetitor, Lululemon Athletica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lululemon Athletica Context triple: [SportChek, hasCompetitor, Lululemon Athletica]
-
A.
Lululemon Athletica
chosen
Lululemon Athletica is a Canadian athletic apparel retailer best known for its premium yoga- and fitness-focused clothing and accessories.
-
B.
Athleta
Athleta is an American women’s athletic and lifestyle apparel brand known for performance-focused, inclusive, and fashion-forward activewear.
-
C.
Columbia Sportswear
Columbia Sportswear is a major American outdoor apparel and footwear company known for its performance-oriented clothing, gear, and accessories for activities like hiking, skiing, and camping.
-
D.
Under Armour
Under Armour is an American sportswear and athletic footwear company known for its performance apparel and innovative moisture-wicking fabrics.
-
E.
Fabletics
Fabletics is an activewear and athleisure brand known for its membership-based model and stylish, affordable workout apparel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d3852c819082518851568e1b51 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.