Triple
T8795180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avenida Atlântica |
E209271
|
entity |
| Predicate | hasPromenadePattern |
P58826
|
FINISHED |
| Object | black-and-white wave pattern |
—
|
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: black-and-white wave pattern | Statement: [Avenida Atlântica, hasPromenadePattern, black-and-white wave pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPromenadePattern Context triple: [Avenida Atlântica, hasPromenadePattern, black-and-white wave pattern]
-
A.
hasPromenade
Indicates that one entity features or includes a promenade, typically as a designated walkway or leisure area associated with it.
-
B.
hasPromenadeLength
Indicates the length or extent of a promenade associated with an entity.
-
C.
hasPromenadeEra
Indicates that an entity is associated with, or took place during, a specific historical or stylistic promenade era.
-
D.
hasPavementPattern
chosen
Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
-
E.
hasPedestrianSignalPattern
Indicates that there is a specific configuration or sequence of pedestrian traffic signals associated with an entity.
- 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_69ca836240888190a62b262e56a69d2f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fa0c6008190a5c4d87510ad5bbd |
completed | March 31, 2026, 11:58 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1d48f08190b325a77d4c76d223 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:43 p.m.