Triple
T31435835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Grammar School, Market Harborough |
E801925
|
entity |
| Predicate | hasStoreyLayout |
P189040
|
FINISHED |
| Object | schoolroom above open ground floor |
—
|
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: schoolroom above open ground floor | Statement: [Old Grammar School, Market Harborough, hasStoreyLayout, schoolroom above open ground floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStoreyLayout Context triple: [Old Grammar School, Market Harborough, hasStoreyLayout, schoolroom above open ground floor]
-
A.
hasFloorLayout
chosen
Indicates that something is associated with or defined by a specific floor layout or arrangement of spaces on a floor.
-
B.
symbolicStoreysCount
Indicates the number of storeys or levels represented symbolically for a given entity or structure.
-
C.
architecturalLayout
Indicates the spatial arrangement and organization of physical elements within a built environment or structure.
-
D.
hasOutdoorLayout
Indicates that an entity includes, features, or is associated with a specific arrangement or design intended for an outdoor space.
-
E.
hasUpperFloor
Indicates that one entity possesses or includes an upper floor relative to another level or reference point.
- 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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 30, 2026, 9:01 p.m.