Triple
T2582484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broad Peak |
E57123
|
entity |
| Predicate | firstWinterAscentExpeditionNationality |
P13792
|
FINISHED |
| Object | Polish |
—
|
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: Polish | Statement: [Broad Peak, firstWinterAscentExpeditionNationality, Polish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWinterAscentExpeditionNationality Context triple: [Broad Peak, firstWinterAscentExpeditionNationality, Polish]
-
A.
firstAscentExpeditionNationality
Indicates the nationality associated with the expedition that made the first ascent of a given peak or route.
-
B.
firstWinterAscentBy
Indicates that the subject was first successfully climbed in winter conditions by the specified person or party.
-
C.
winterFirstAscensionistTeamNationality
chosen
Indicates the nationality of the team that first completed a winter ascent of a route, peak, or climb.
-
D.
firstWinterAscentYear
Indicates the year in which the first successful winter ascent of something (such as a mountain or route) was completed.
-
E.
firstWinterAscentDate
Indicates the calendar date on which the first successful winter ascent of something (typically a route, peak, or climb) was completed.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3c9d0548190b29743ac1d7837ff |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0cfeae08190aed03866ba071c5c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.