Triple
T14425311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Nevis and Glen Coe National Scenic Area |
E357680
|
entity |
| Predicate | numberOfNationalScenicAreasInScotland |
P114222
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [Ben Nevis and Glen Coe National Scenic Area, numberOfNationalScenicAreasInScotland, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNationalScenicAreasInScotland Context triple: [Ben Nevis and Glen Coe National Scenic Area, numberOfNationalScenicAreasInScotland, 40]
-
A.
hasNationalScenicArea
Indicates that an entity is designated as or associated with a National Scenic Area.
-
B.
rankInScotlandByArea
Indicates the numerical position of an entity in an ordered list of areas specifically within Scotland, based on its size.
-
C.
numberOfScenicSpots
Indicates the quantity of scenic spots associated with a given entity.
-
D.
hasAreaOfOutstandingNaturalBeauty
Indicates that something is located within, or designated as, an Area of Outstanding Natural Beauty.
-
E.
nationalPark
Indicates that a location is designated and managed as a national park by a governing authority.
- F. None of above. chosen
Provenance (4 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91123f848190ba3fb18a76c2d24c |
completed | April 14, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:18 a.m.