Triple
T5408444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Three Peaks Challenge |
E120949
|
entity |
| Predicate | mountain2Height |
P14507
|
FINISHED |
| Object | Scafell Pike 978 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: Scafell Pike 978 metres | Statement: [National Three Peaks Challenge, mountain2Height, Scafell Pike 978 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountain2Height Context triple: [National Three Peaks Challenge, mountain2Height, Scafell Pike 978 metres]
-
A.
summitElevation
chosen
Indicates the elevation or height of a summit above a reference level, typically sea level.
-
B.
mountainName
Indicates that an entity is identified by a specific mountain’s name.
-
C.
numberOfMountains
Indicates the quantitative count of mountains associated with a given entity or context.
-
D.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
-
E.
highestPoint
Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8794e0c4819082bebf2da5e41201 |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.