Triple
T3271124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jebel Musa |
E68649
|
entity |
| Predicate | snowOccurrence |
P38179
|
FINISHED |
| Object | occasional winter snowfall |
—
|
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: occasional winter snowfall | Statement: [Jebel Musa, snowOccurrence, occasional winter snowfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowOccurrence Context triple: [Jebel Musa, snowOccurrence, occasional winter snowfall]
-
A.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
B.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
C.
hasSnowOccasionally
chosen
Indicates that the subject experiences snowfall at irregular or infrequent intervals rather than regularly or never.
-
D.
winterStatus
Indicates the condition, phase, or circumstances associated with the winter season for a given entity or context.
-
E.
snowReliability
Indicates how consistently and dependably snow is present or available in a given context or location.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff4b9dc8190b7e3da0bbffccf99 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.