Triple
T23935111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turtmanntal |
E602611
|
entity |
| Predicate | highestSurroundingSummit |
P129006
|
FINISHED |
| Object | Weisshorn |
—
|
NE NERFINISHED |
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: Weisshorn | Statement: [Turtmanntal, highestSurroundingSummit, Weisshorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestSurroundingSummit Context triple: [Turtmanntal, highestSurroundingSummit, Weisshorn]
-
A.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
-
B.
highestSurroundingPeaks
chosen
Indicates that certain peaks are the tallest among all peaks in the surrounding area of a given location or peak.
-
C.
moreProminentSummit
Indicates that one summit is higher, more notable, or more significant than another in terms of prominence.
-
D.
isSummitOf
Indicates that one entity is the highest point or peak (summit) of another entity, such as a mountain or structure.
-
E.
highestPeaksLocatedIn
Indicates that the specified highest mountain peaks are geographically situated within the given location or region.
- 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_69e2953cf6e081909b8e25a10a52dddc |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1cf9e8abc8190a3028a358265912e |
completed | April 29, 2026, 9:30 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:01 p.m.