Triple
T15777860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pheran |
E382534
|
entity |
| Predicate | usedInClimate |
P13408
|
FINISHED |
| Object | cold climate |
—
|
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: cold climate | Statement: [Pheran, usedInClimate, cold climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInClimate Context triple: [Pheran, usedInClimate, cold climate]
-
A.
usedInEnvironment
chosen
Indicates that something is utilized or operates within a particular environment or context.
-
B.
usedInConcept
Indicates that something (such as a method, idea, or component) is employed as part of, or plays a role within, a particular concept.
-
C.
widelyUsedIn
Indicates that something is commonly or extensively utilized within a particular context, domain, or group.
-
D.
usedInIndustry
Indicates that something is employed or applied within a particular industry or industrial sector.
-
E.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05199cd8881909462462cec34d35a |
completed | April 16, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.