Triple
T21300356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salomon Glacier |
E525043
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Salomon |
—
|
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: Salomon | Statement: [Salomon Glacier, namedAfter, Salomon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salomon Context triple: [Salomon Glacier, namedAfter, Salomon]
-
A.
Salomon
chosen
Salomon is a given name of Hebrew origin commonly used in various European and Jewish communities, related to the name Solomon.
-
B.
Merrells
Merrells is a surname most notably associated with English actor Simon Merrells.
-
C.
Salomon Skyline Scotland
Salomon Skyline Scotland is a renowned mountain running and skyrunning race event held in the Scottish Highlands, attracting elite and amateur athletes to tackle challenging technical courses.
-
D.
Sorel Bliss
Sorel Bliss is a spirited and theatrically inclined young woman in Noël Coward’s comedy "Hay Fever," known for her dramatic flair and self-absorbed charm within the eccentric Bliss family.
-
E.
K2 Sports
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385c078881908a451be1a19a64c5 |
completed | April 21, 2026, 8:42 a.m. |
Created at: April 16, 2026, 4:05 p.m.