Triple
T22537209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Eternal Sunshine |
E557186
|
entity |
| Predicate | metaphoricMeaning |
P93472
|
FINISHED |
| Object | place with nearly constant sunshine |
—
|
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: place with nearly constant sunshine | Statement: [City of Eternal Sunshine, metaphoricMeaning, place with nearly constant sunshine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metaphoricMeaning Context triple: [City of Eternal Sunshine, metaphoricMeaning, place with nearly constant sunshine]
-
A.
figurativeMeaning
chosen
Indicates that one entity is used in a non-literal, metaphorical, or symbolic sense to convey a meaning about another entity or concept.
-
B.
hasMetaphoricalForm
Indicates that one entity is expressed, represented, or understood through a metaphorical form or figurative expression involving another entity.
-
C.
meaningOfPhrase
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
-
D.
literalMeaningApproximation
Indicates that one entity expresses an approximate or rough literal meaning of another entity, rather than an exact or fully precise interpretation.
-
E.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f2f671c8190b7a7d9b6d0d64a9b |
completed | April 29, 2026, 1:30 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.