Triple
T32514495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciudad de la Eterna Primavera |
E831024
|
entity |
| Predicate | connotación |
P4340
|
FINISHED |
| Object | positiva |
—
|
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: positiva | Statement: [Ciudad de la Eterna Primavera, connotación, positiva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connotación Context triple: [Ciudad de la Eterna Primavera, connotación, positiva]
-
A.
hasConnotation
chosen
Indicates that one entity carries an implied or associated meaning, tone, or emotional nuance in relation to another entity.
-
B.
hasPositiveConnotation
Indicates that something is associated with favorable, pleasant, or approving meanings, feelings, or implications.
-
C.
conjugate
Indicates that one entity is a grammatical or mathematical counterpart of another, linked by a specific transformation such as verb inflection or complex-number pairing.
-
D.
conceptualMeaning
Indicates the abstract idea, concept, or underlying significance that something represents or conveys.
-
E.
construes
Indicates how one entity interprets, understands, or mentally represents another entity or situation.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c4a08a888190b7a25f185dae36f8 |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1 a.m.