Triple
T26941861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garbh Choire Mòr |
E678539
|
entity |
| Predicate | snowPatchesSometimesSurviveUntil |
P161344
|
FINISHED |
| Object | following winter |
—
|
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: following winter | Statement: [Garbh Choire Mòr, snowPatchesSometimesSurviveUntil, following winter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowPatchesSometimesSurviveUntil Context triple: [Garbh Choire Mòr, snowPatchesSometimesSurviveUntil, following winter]
-
A.
snowPatchesOftenLastUntil
chosen
Indicates that snow patches in a location typically persist and remain visible up to a certain time or season.
-
B.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
C.
snowAccumulation
Indicates that snow has collected or built up on a surface or in a location over time.
-
D.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
E.
survivesIn
Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
- 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_69f621cbc48881908d104c648c91c715 |
completed | May 2, 2026, 4:09 p.m. |
| PD | Predicate disambiguation | batch_69f620e0b37481909a280574decbd443 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 6:19 a.m.