Triple
T22824207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza de Monterrey |
E565307
|
entity |
| Predicate | hasNotableStyleContext |
P1609
|
FINISHED |
| Object | Renaissance urban setting |
—
|
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: Renaissance urban setting | Statement: [Plaza de Monterrey, hasNotableStyleContext, Renaissance urban setting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableStyleContext Context triple: [Plaza de Monterrey, hasNotableStyleContext, Renaissance urban setting]
-
A.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
B.
hasNotableSelector
Indicates that an entity is associated with a particularly important or distinguished selector used to identify or access it.
-
C.
hasNotableBearerStyle
Indicates that a particular style, form, or variant is notably associated with a specific bearer (such as a person, group, or entity) as a distinguishing characteristic.
-
D.
hasNotableGenreContext
Indicates that an entity’s genre is significant or noteworthy in understanding its context, interpretation, or impact.
-
E.
hasNotableType
Indicates that an entity is associated with a specific notable category or type that characterizes its significance or role.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dd34a248190881f2bccdd9aedce |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:34 p.m.