Triple
T5330060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegheny Front |
E123282
|
entity |
| Predicate | climaticSignificance |
P20475
|
FINISHED |
| Object | orographic barrier |
—
|
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: orographic barrier | Statement: [Allegheny Front, climaticSignificance, orographic barrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climaticSignificance Context triple: [Allegheny Front, climaticSignificance, orographic barrier]
-
A.
climatologicalSignificance
chosen
Indicates the degree to which something is important, influential, or relevant within the context of climate or long-term weather patterns.
-
B.
climaticChallenge
Indicates a relationship where an entity faces, contributes to, or is affected by significant difficulties or stresses arising from climate or weather conditions.
-
C.
climatologicalType
Indicates the classification of a climate or weather pattern that characterizes a place, period, or condition.
-
D.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
E.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd859552d8819080758bdd7c43c66a |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.