Triple
T26941890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garbh Choire Mòr |
E678539
|
entity |
| Predicate | notableForUK |
P39809
|
FINISHED |
| Object | among the UK’s most persistent natural snow sites |
—
|
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: among the UK’s most persistent natural snow sites | Statement: [Garbh Choire Mòr, notableForUK, among the UK’s most persistent natural snow sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableForUK Context triple: [Garbh Choire Mòr, notableForUK, among the UK’s most persistent natural snow sites]
-
A.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
B.
notableNationality
Indicates that an entity is notably associated with a particular nationality, often by origin, citizenship, or cultural identity.
-
C.
notableCountry
Indicates that a country holds particular significance or prominence in relation to the subject entity.
-
D.
notableInRegion
chosen
Indicates that an entity is recognized as notable, prominent, or significant within a specified geographic region.
-
E.
notableNationalityContext
Indicates that the subject’s nationality is notable or contextually relevant in relation to the associated entity or situation.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff49016dcc8190a8a43868c728b4f1 |
completed | May 9, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69ff4891924c8190b5be340e2520e012 |
completed | May 9, 2026, 2:45 p.m. |
Created at: April 27, 2026, 6:19 a.m.