Triple
T34694505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O2 Academy Islington |
E890988
|
entity |
| Predicate | capacityNote |
P38868
|
FINISHED |
| Object | main room capacity is mid-size compared to other O2 Academies |
—
|
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: main room capacity is mid-size compared to other O2 Academies | Statement: [O2 Academy Islington, capacityNote, main room capacity is mid-size compared to other O2 Academies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capacityNote Context triple: [O2 Academy Islington, capacityNote, main room capacity is mid-size compared to other O2 Academies]
-
A.
capacityCategory
chosen
Indicates the classification of something based on the amount or volume it can hold, handle, or accommodate.
-
B.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
-
C.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
-
D.
capacityRecord
Indicates a recorded measure of how much of a resource, space, or system is available or can be utilized at a given time.
-
E.
storageCapacityType
Indicates the type or category of storage capacity associated with an entity (e.g., total, used, available, or reserved capacity).
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
Created at: May 1, 2026, 2:05 a.m.