Triple
T37757417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usui Pass section between Yokokawa and Karuizawa |
E941153
|
entity |
| Predicate | wasNotoriousFor |
P110633
|
FINISHED |
| Object | challenging gradients |
—
|
LITERAL 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: challenging gradients | Statement: [Usui Pass section between Yokokawa and Karuizawa, wasNotoriousFor, challenging gradients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasNotoriousFor Context triple: [Usui Pass section between Yokokawa and Karuizawa, wasNotoriousFor, challenging gradients]
-
A.
hasMannerOfNotoriety
chosen
Indicates that an entity is known or recognized in a particular way, specifying the manner or type of its notoriety.
-
B.
inceptionOfNotoriety
Indicates the point or event at which an entity first becomes widely known or gains significant public notoriety.
-
C.
notoriouslyAssociatedWith
Indicates a widely recognized and often negative or infamous association between one entity and another.
-
D.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
E.
wasProminent
Indicates that an entity held a position of significant importance, influence, or visibility within a particular context or period.
- F. None of above.
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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef69bec8190b601dc1473f4eaf3 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.