Triple
T20588182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EuroBasket 2009 |
E505841
|
entity |
| Predicate | officialBallSupplier |
P17063
|
FINISHED |
| Object | Molten |
—
|
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: Molten | Statement: [EuroBasket 2009, officialBallSupplier, Molten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molten Context triple: [EuroBasket 2009, officialBallSupplier, Molten]
-
A.
Molten
chosen
Molten is a Japanese sports equipment manufacturer best known for producing high-quality balls used in major international competitions across football, basketball, and other sports.
-
B.
Melted
Melted is a 2010 garage rock and psychedelic-leaning studio album by American musician Ty Segall.
-
C.
Melter
Melter is a Marvel Comics supervillain known primarily as an enemy of Iron Man and a recurring member of villainous teams.
-
D.
Melted Stone
Melted Stone is a record label associated with Adele, under which her music, including the single "I Drink Wine," has been released.
-
E.
Melt!
"Melt!" is a song by English post-punk band Siouxsie and the Banshees, known for its dark, sensual atmosphere and richly textured production.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a9790cc08190b48949834cd421d2 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.