Triple
T28313973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairn Toul–Braeriach plateau |
E714080
|
entity |
| Predicate | elevationOfCairnToul_m |
P99098
|
FINISHED |
| Object | 1291 |
—
|
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: 1291 | Statement: [Cairn Toul–Braeriach plateau, elevationOfCairnToul_m, 1291]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationOfCairnToul_m Context triple: [Cairn Toul–Braeriach plateau, elevationOfCairnToul_m, 1291]
-
A.
damCrestElevation
Indicates the height of the top (crest) of a dam above a specified reference level, typically sea level.
-
B.
peakElevationMetres
chosen
Indicates the maximum height of an entity above sea level, measured in metres.
-
C.
isHighlandLandmarkFor
Indicates that a landmark is recognized as a notable or defining feature specifically within a highland area or region.
-
D.
rankingByElevationInCorsica
Indicates the relative ordering of entities based on their elevation specifically within the region of Corsica.
-
E.
elevationRelativeToParis
Indicates the relative elevation difference between a given location and Paris, specifying how much higher or lower it is in altitude.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 11:42 p.m.