Triple
T14837288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molten basketball |
E348863
|
entity |
| Predicate | hasLogo |
P103
|
FINISHED |
| Object | Molten logo |
E153428
|
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: Molten logo | Statement: [Molten basketball, hasLogo, Molten logo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molten logo Context triple: [Molten basketball, hasLogo, Molten logo]
-
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.
MOLIT
MOLIT is the South Korean government ministry responsible for national land planning, transportation systems, infrastructure development, and urban policy.
-
C.
Melted
Melted is a 2010 garage rock and psychedelic-leaning studio album by American musician Ty Segall.
-
D.
Mol
Mol is a municipality in the Belgian region of Flanders known for its lakes, nature reserves, and recreational tourism.
-
E.
Melted Stone
Melted Stone is a record label associated with Adele, under which her music, including the single "I Drink Wine," has been released.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28d0ddc8190a34e3e2d469ab762 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a813b881908a71350073c8fc5c |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.