Triple
T30854566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köppen Cfa |
E785883
|
entity |
| Predicate | hasRequirementMonthsAbove10C |
P9860
|
FINISHED |
| Object | >= 4 months |
—
|
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: >= 4 months | Statement: [Köppen Cfa, hasRequirementMonthsAbove10C, >= 4 months]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRequirementMonthsAbove10C Context triple: [Köppen Cfa, hasRequirementMonthsAbove10C, >= 4 months]
-
A.
hasMonth
Indicates that something is associated with, occurs in, or is assigned to a specific month.
-
B.
hasMinimum
Indicates that an entity possesses at least a specified lower bound or smallest allowable value, quantity, or level in relation to another entity or constraint.
-
C.
hasMaximumWithdrawalRequirement
Indicates that there is an upper limit on the amount that can be withdrawn, specifying the maximum withdrawal requirement applicable to an entity or account.
-
D.
hasMonthCount
chosen
Indicates a relationship where an entity is associated with a specific number of months.
-
E.
hasHigherListingRequirementsThan
Indicates that one entity is subject to stricter or more demanding listing requirements than another entity.
- 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00b6199c348190b1e90375f737d026 |
completed | May 10, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_6a00b5169a7881909a07167c4188731f |
completed | May 10, 2026, 4:40 p.m. |
Created at: April 29, 2026, 8:46 p.m.