Triple
T33517409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Few Quadrangle |
E858403
|
entity |
| Predicate | isNamedQuadrangleOf |
P162446
|
FINISHED |
| Object | Duke University West Campus |
—
|
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: Duke University West Campus | Statement: [Few Quadrangle, isNamedQuadrangleOf, Duke University West Campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNamedQuadrangleOf Context triple: [Few Quadrangle, isNamedQuadrangleOf, Duke University West Campus]
-
A.
quadrangleName
chosen
Indicates the specific name assigned to a particular quadrangle.
-
B.
isQuadrangleOf
Indicates that one entity is a four-sided polygon (quadrilateral) that has the other entity as its defining instance or member.
-
C.
quadrangleNumber
Indicates that the subject is associated with a specific quadrangle identifier or index within a partitioned spatial or structural system.
-
D.
onQuadrangle
Indicates that one entity is located on or lies upon the surface or boundary of a quadrangle.
-
E.
isQuadrangleNumber
Indicates that a number belongs to the sequence of quadrangular (square pyramidal) numbers, which count points arranged in a square-based pyramid.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:39 a.m.