Triple
T26344328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azoyú |
E662736
|
entity |
| Predicate | hasCoastalCulturalTraditions |
P75701
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Azoyú, hasCoastalCulturalTraditions, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoastalCulturalTraditions Context triple: [Azoyú, hasCoastalCulturalTraditions, true]
-
A.
coastalCulture
Indicates a relationship where a culture is shaped by, associated with, or predominantly practiced in coastal or shoreline environments.
-
B.
hasTraditionalVillagesAlongCoast
Indicates that there are traditional villages located along the coastline of a specified geographic area.
-
C.
hasCoastalLandmarks
Indicates that an entity possesses or is associated with notable geographic or cultural features located along a coast.
-
D.
hasCoastalCharacteristic
chosen
Indicates that an entity possesses a feature, quality, or condition specifically related to coastal or shoreline environments.
-
E.
hasMulticulturalTradition
Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: April 26, 2026, 10:41 p.m.