Triple
T16970282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Edmund’s Girls’ School (former) |
E411652
|
entity |
| Predicate | hasBeenRepurposed |
P47023
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [St Edmund’s Girls’ School (former), hasBeenRepurposed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeenRepurposed Context triple: [St Edmund’s Girls’ School (former), hasBeenRepurposed, true]
-
A.
laterRepurposedFor
chosen
Indicates that something was originally used for one purpose and subsequently assigned a different, new purpose.
-
B.
hasBeenAdaptedBy
Indicates that an original work has been transformed or re-created into a new form or medium by a particular adapter.
-
C.
hasFormerUse
Indicates that something previously served a particular function or role that it no longer has.
-
D.
hasReplaced
Indicates that one entity has taken the place or function of another entity, superseding it in a given context.
-
E.
usedToBe
Indicates that something held a particular state, role, or property in the past but no longer does in the present.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0ac23a48190992fa125fceb1eb2 |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:31 a.m.