Triple
T353860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Queen's College, Oxford |
E7501
|
entity |
| Predicate | hasQuadrangle |
P8881
|
FINISHED |
| Object | Front Quad |
—
|
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: Front Quad | Statement: [The Queen's College, Oxford, hasQuadrangle, Front Quad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuadrangle Context triple: [The Queen's College, Oxford, hasQuadrangle, Front Quad]
-
A.
isQuadrangleOf
chosen
Indicates that one entity is a four-sided polygon (quadrilateral) that has the other entity as its defining instance or member.
-
B.
hasTriangle
Indicates that an entity possesses, contains, or is associated with a triangle.
-
C.
hasQuadrupoleMoment
Indicates that an entity possesses a quadrupole moment, meaning its charge or mass distribution has a second-order spatial asymmetry beyond a simple dipole.
-
D.
isConcaveIn
Indicates that a function or relation curves inward (is concave) with respect to a specified variable or argument, so that any line segment between two points on its graph lies below or on the graph.
-
E.
hasNearbySquare
Indicates that one entity has at least one square-shaped entity located close to it in space.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb80f524819093f4c2c18c3d615f |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e9571bd88190b6fcb16f21604720 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.