Triple
T26941859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garbh Choire Mòr |
E678539
|
entity |
| Predicate | snowPatchesOftenLastUntil |
P161344
|
FINISHED |
| Object | late summer |
—
|
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: late summer | Statement: [Garbh Choire Mòr, snowPatchesOftenLastUntil, late summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowPatchesOftenLastUntil Context triple: [Garbh Choire Mòr, snowPatchesOftenLastUntil, late summer]
-
A.
snowAccumulation
Indicates that snow has collected or built up on a surface or in a location over time.
-
B.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
C.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
-
D.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
E.
hasSnowOccasionally
Indicates that the subject experiences snowfall at irregular or infrequent intervals rather than regularly or never.
- 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62081136c81909de8090b1d6c1ac5 |
completed | May 2, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 27, 2026, 6:19 a.m.