Triple
T26941862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garbh Choire Mòr |
E678539
|
entity |
| Predicate | hasNotableSnowPatch |
P108311
|
FINISHED |
| Object | Sphinx snow patch |
—
|
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: Sphinx snow patch | Statement: [Garbh Choire Mòr, hasNotableSnowPatch, Sphinx snow patch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableSnowPatch Context triple: [Garbh Choire Mòr, hasNotableSnowPatch, Sphinx snow patch]
-
A.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
B.
hasSnowIn
Indicates that snow is present or occurs within a specified location or region.
-
C.
hasSeasonalSnowCover
Indicates that an entity is covered by snow during certain seasons or periods of the year, rather than permanently.
-
D.
hasSnowfield
chosen
Indicates that an entity possesses, contains, or is characterized by a snow-covered field or area.
-
E.
hasSnowAndIce
Indicates that the subject is covered with or contains both snow and ice.
- 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_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
Created at: April 27, 2026, 6:19 a.m.