Triple
T37936248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Polish winter K2 expedition |
E946357
|
entity |
| Predicate | highestPointReachedMetres |
P140571
|
FINISHED |
| Object | 7400 |
—
|
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: 7400 | Statement: [2018 Polish winter K2 expedition, highestPointReachedMetres, 7400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestPointReachedMetres Context triple: [2018 Polish winter K2 expedition, highestPointReachedMetres, 7400]
-
A.
highestAltitudeReachedBy
chosen
Indicates the maximum altitude that a given entity has ever attained.
-
B.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
C.
peakElevationMetres
Indicates the maximum height of an entity above sea level, measured in metres.
-
D.
highestAltitudeReachedFeet
Indicates the maximum altitude, measured in feet, that an entity has reached.
-
E.
altitudeRecord
Indicates that an entity holds or represents a recorded measurement of altitude for another entity or event.
- 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_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: May 3, 2026, 4:20 p.m.