Triple
T13110144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridge of Dee |
E310947
|
entity |
| Predicate | hasSpandrels |
P54274
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bridge of Dee, hasSpandrels, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpandrels Context triple: [Bridge of Dee, hasSpandrels, yes]
-
A.
hasSpandrel
chosen
Indicates a structural relationship where one element includes or is connected to a spandrel, typically as the space or panel between two architectural supports or openings.
-
B.
hasSpines
Indicates that one entity possesses or is characterized by spines or spine-like structures.
-
C.
hasTransept
Indicates that one architectural structure includes or features a transept as part of its design.
-
D.
hasNumberOfArches
Indicates the relationship specifying how many arches are present in or associated with a given entity.
-
E.
hasColossiOf
Indicates that one entity possesses, contains, or is characterized by monumental statues or colossal figures associated with another 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98041a3548190a05ddd83dbb660fa |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:05 p.m.