Triple
T14621349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calle de los Reyes Católicos |
E343228
|
entity |
| Predicate | nearbyLandmarkStyle |
P25796
|
FINISHED |
| Object | late Gothic |
—
|
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: late Gothic | Statement: [Calle de los Reyes Católicos, nearbyLandmarkStyle, late Gothic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyLandmarkStyle Context triple: [Calle de los Reyes Católicos, nearbyLandmarkStyle, late Gothic]
-
A.
typicalNearbyLandmarks
Indicates that certain landmarks are commonly found in the vicinity of a given place or location.
-
B.
proximityToLandmark
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
C.
streetscapeStyle
Indicates the characteristic visual and design style that defines the overall appearance and layout of a street and its surrounding public realm.
-
D.
featuresStyle
chosen
Indicates that one entity exhibits, incorporates, or is characterized by a particular style associated with another entity.
-
E.
isLocalLandmark
Indicates that something is recognized as a notable or significant landmark within a specific local area or community.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb466a61c81908a110d40fb959b6f |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656f9f4c81909f815b6629a9ee39 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:25 a.m.