Triple
T34982991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonington–Whillans Route |
E1008864
|
entity |
| Predicate | hasFirstAscentionistNationality |
P200792
|
FINISHED |
| Object | British |
—
|
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: British | Statement: [Bonington–Whillans Route, hasFirstAscentionistNationality, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFirstAscentionistNationality Context triple: [Bonington–Whillans Route, hasFirstAscentionistNationality, British]
-
A.
firstAscentExpeditionNationality
Indicates the nationality associated with the expedition that made the first ascent of a given peak or route.
-
B.
firstAscentCountry
Indicates the country in which the first successful ascent of something (typically a mountain or climbing route) took place.
-
C.
secondAscentExpeditionNationality
Indicates the nationality associated with the expedition that made the second ascent of a given peak or route.
-
D.
winterFirstAscensionistTeamNationality
Indicates the nationality of the team that first completed a winter ascent of a route, peak, or climb.
-
E.
firstAscentBy
Indicates the person or party that first successfully ascended or climbed a particular route, peak, or feature.
- F. None of above. chosen
Provenance (4 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffacdf9f5c8190baef0245edfe87fc |
completed | May 9, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69ffac5e86e08190a1e6da0840a237ad |
completed | May 9, 2026, 9:51 p.m. |
| PDg | Predicate description generation | batch_69ffacdea2408190949dba9edeca4412 |
completed | May 9, 2026, 9:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.