Triple
T13175676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derry & Toms |
E313091
|
entity |
| Predicate | roofGardensOwnership |
P108894
|
FINISHED |
| Object | later leased by Richard Branson’s Virgin Limited Edition |
—
|
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: later leased by Richard Branson’s Virgin Limited Edition | Statement: [Derry & Toms, roofGardensOwnership, later leased by Richard Branson’s Virgin Limited Edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roofGardensOwnership Context triple: [Derry & Toms, roofGardensOwnership, later leased by Richard Branson’s Virgin Limited Edition]
-
A.
roofGardenUse
Indicates that a roof garden is being utilized for a specific function or activity.
-
B.
containsGarden
Indicates that one entity includes or has a garden within its area or boundaries.
-
C.
gardenAccess
Indicates that one entity is permitted to enter or use a particular garden area.
-
D.
hasGardenType
Indicates that an entity possesses or is associated with a garden of a specified type.
-
E.
hasGardenSquare
Indicates that an entity includes, is adjacent to, or is otherwise associated with a garden square.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98ceeb22c8190a6be666031d9e5a4 |
completed | April 10, 2026, 11:51 p.m. |
Created at: April 9, 2026, 9:14 p.m.