Triple
T24301737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuernavaca Valley |
E612416
|
entity |
| Predicate | hasClimateNickname |
P23440
|
FINISHED |
| Object | land of eternal spring |
—
|
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: land of eternal spring | Statement: [Cuernavaca Valley, hasClimateNickname, land of eternal spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimateNickname Context triple: [Cuernavaca Valley, hasClimateNickname, land of eternal spring]
-
A.
hasClimate
Indicates that an entity possesses or is characterized by a particular type of climate or climatic conditions.
-
B.
touristRegionNickname
chosen
Indicates that a tourist region is known by a particular informal or colloquial nickname.
-
C.
regionalNickname
Indicates that one entity is an informal or colloquial name used for another entity within a specific geographic region.
-
D.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
-
E.
nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29222d3008190af765d62787ee334 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:15 a.m.