Triple
T37936294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Nanga Parbat rescue of Élisabeth Revol |
E946358
|
entity |
| Predicate | approximateAltitudeOfTomaszMackiewicz |
P21269
|
FINISHED |
| Object | around 7200 metres |
—
|
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: around 7200 metres | Statement: [2018 Nanga Parbat rescue of Élisabeth Revol, approximateAltitudeOfTomaszMackiewicz, around 7200 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateAltitudeOfTomaszMackiewicz Context triple: [2018 Nanga Parbat rescue of Élisabeth Revol, approximateAltitudeOfTomaszMackiewicz, around 7200 metres]
-
A.
distanceFromTarnów
Indicates the measured spatial distance between a given location and the city of Tarnów.
-
B.
locatedAtAltitude
chosen
Indicates that an entity exists or is positioned at a specific height above a reference level, typically sea level.
-
C.
maMiejsceW
Indicates that something is located in or takes place within a specified place or context.
-
D.
polishPOWsApprox
Indicates an approximate or uncertain count or involvement of Polish prisoners of war in the described context or event.
-
E.
distanceToŚnieżka
Indicates the measured or calculated spatial distance from a given entity or location to Śnieżka.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffe613c03481909f3043ec8bf0bed9 |
completed | May 10, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69ffe4a73fb4819091600725a443981a |
completed | May 10, 2026, 1:51 a.m. |
Created at: May 3, 2026, 4:20 p.m.