Triple
T33517399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Few Quadrangle |
E858403
|
entity |
| Predicate | hasQuadrangleType |
P177064
|
FINISHED |
| Object | residential quadrangle |
—
|
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: residential quadrangle | Statement: [Few Quadrangle, hasQuadrangleType, residential quadrangle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuadrangleType Context triple: [Few Quadrangle, hasQuadrangleType, residential quadrangle]
-
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.
onQuadrangle
Indicates that one entity is located on or lies upon the surface or boundary of a quadrangle.
-
D.
hasQuadrants
Indicates that something is divided into four distinct sections or regions, typically arranged as quadrants.
-
E.
quadrangleNumber
Indicates that the subject is associated with a specific quadrangle identifier or index within a partitioned spatial or structural system.
- 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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85ca7c0819098069384b0d1ca6a |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:39 a.m.