Triple
T7827321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kappa |
E181278
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Puma |
E23437
|
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: Puma | Statement: [Kappa, competitor, Puma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puma Context triple: [Kappa, competitor, Puma]
-
A.
Puma
chosen
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.
-
B.
Puma
Puma is a genus of large, slender wild cats best known for the cougar (also called mountain lion or puma), a powerful and adaptable predator found across the Americas.
-
C.
Diadora
Diadora is an Italian sportswear and footwear brand known for producing football kits, athletic shoes, and apparel for various professional teams and athletes.
-
D.
Superga
Superga is a hill near Turin in northern Italy best known for the Basilica of Superga, a major example of Piedmontese Baroque architecture and the site of the 1949 Torino football team air disaster.
-
E.
Bata
Bata is a major port city on the mainland of Equatorial Guinea, serving as a key economic and transportation hub for the country.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a7f3b8819080f8a8283d6118fb |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a797ee881908068ba7346042756 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:43 p.m.