Triple
T12920721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köppen BWk |
E309110
|
entity |
| Predicate | hasSecondLetterMeaning |
P50619
|
FINISHED |
| Object | W = desert or arid steppe condition |
—
|
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: W = desert or arid steppe condition | Statement: [Köppen BWk, hasSecondLetterMeaning, W = desert or arid steppe condition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondLetterMeaning Context triple: [Köppen BWk, hasSecondLetterMeaning, W = desert or arid steppe condition]
-
A.
secondLetterMatches
Indicates that the second character of one string or sequence is the same as the second character of another string or sequence.
-
B.
secondLetterRepresents
chosen
Indicates that the second letter of one entity stands for, symbolizes, or denotes another entity or concept.
-
C.
secondLetter
Indicates that one entity is the second letter (in sequence or position) of another entity, typically a string or word.
-
D.
hasLastThreeLettersMeaning
Indicates that the last three letters of one entity (typically a word or string) together form a meaningful unit or have a specific semantic significance.
-
E.
hasMultipleMeanings
Indicates that a term, symbol, or expression is associated with more than one distinct meaning or interpretation.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e7f6e881908c7bb12283898c80 |
completed | April 10, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.