Triple
T2947174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kensington Roof Gardens |
E79529
|
entity |
| Predicate | roofLevel |
P44146
|
FINISHED |
| Object | sixth 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: sixth floor | Statement: [Kensington Roof Gardens, roofLevel, sixth floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofLevel Context triple: [Kensington Roof Gardens, roofLevel, sixth floor]
-
A.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
B.
roofFeature
Indicates that one entity is a feature, element, or characteristic that is part of or associated with a roof.
-
C.
roofStatus
Indicates the current condition or state of a roof, such as whether it is intact, damaged, under repair, or replaced.
-
D.
numberOfBasementLevels
Indicates the total count of basement levels associated with a given structure or property.
-
E.
buildingLevels
Indicates the number of floors or levels that a building has.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98b5916c8190b1163bf0b7fa136a |
completed | March 8, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:57 p.m.