Triple
T6355549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chapel Court |
E142980
|
entity |
| Predicate | isMainQuadrangleOf |
P34866
|
FINISHED |
| Object | Sidney Sussex College, Cambridge |
—
|
NE NERFINISHED |
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: Sidney Sussex College, Cambridge | Statement: [Chapel Court, isMainQuadrangleOf, Sidney Sussex College, Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainQuadrangleOf Context triple: [Chapel Court, isMainQuadrangleOf, Sidney Sussex College, Cambridge]
-
A.
isQuadrangleOf
Indicates that one entity is a four-sided polygon (quadrilateral) that has the other entity as its defining instance or member.
-
B.
isQuadrangleNumber
Indicates that a number belongs to the sequence of quadrangular (square pyramidal) numbers, which count points arranged in a square-based pyramid.
-
C.
mainQuadrangle
chosen
Indicates that one location or structure serves as the primary central quadrangle area associated with another entity.
-
D.
hasQuadrants
Indicates that something is divided into four distinct sections or regions, typically arranged as quadrants.
-
E.
isRectangular
Indicates that an object or shape has the properties of a rectangle, typically with four sides and right angles between adjacent sides.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e22c00819089bc68efb85bc2c8 |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.