Triple
T14512061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cefalù Cathedral |
E340420
|
entity |
| Predicate | elevationAboveTown |
P114529
|
FINISHED |
| Object | dominates the historic center of Cefalù |
—
|
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: dominates the historic center of Cefalù | Statement: [Cefalù Cathedral, elevationAboveTown, dominates the historic center of Cefalù]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationAboveTown Context triple: [Cefalù Cathedral, elevationAboveTown, dominates the historic center of Cefalù]
-
A.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
B.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
C.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
-
D.
elevationAboveValley
Indicates the vertical height or altitude of an entity measured relative to the lowest point of the surrounding valley.
-
E.
elevationAboveLake
Indicates the vertical height or altitude of something relative to the surface level of a specified lake.
- F. None of above. chosen
Provenance (4 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:21 a.m.