Triple
T7066508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairn Toul |
E164365
|
entity |
| Predicate | rankingInScotlandByHeight |
P74816
|
FINISHED |
| Object | fourth-highest mountain in Scotland |
—
|
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: fourth-highest mountain in Scotland | Statement: [Cairn Toul, rankingInScotlandByHeight, fourth-highest mountain in Scotland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingInScotlandByHeight Context triple: [Cairn Toul, rankingInScotlandByHeight, fourth-highest mountain in Scotland]
-
A.
rankInScotlandByArea
Indicates the numerical position of an entity in an ordered list of areas specifically within Scotland, based on its size.
-
B.
rankingInEnglandByHeight
Indicates the relative position of an entity in an ordered list based on its height specifically within the context of England.
-
C.
higherEnglishPeaks
Indicates that one entity has English peaks that are higher than those of another entity.
-
D.
onlyMunroOn
Indicates that the referenced mountain is the sole Munro located on the specified island or landmass.
-
E.
formerRankInUKByHeight
Indicates that an entity previously held a specific rank in the United Kingdom when entities are ordered by height.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a4e7188190aef123ff1a2aa473 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:39 p.m.