Triple
T11627746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherborne International |
E276315
|
entity |
| Predicate | alsoPreparesFor |
P2534
|
FINISHED |
| Object | British boarding schools |
—
|
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: British boarding schools | Statement: [Sherborne International, alsoPreparesFor, British boarding schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoPreparesFor Context triple: [Sherborne International, alsoPreparesFor, British boarding schools]
-
A.
preparesFor
chosen
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
B.
preparesWith
Indicates that one entity is used as a means, tool, or method by which another entity is prepared or made ready.
-
C.
preparedFor
Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with another entity.
-
D.
preparesForEvent
Indicates that one entity performs actions or makes arrangements in anticipation of a specific event.
-
E.
preparationBy
Indicates that one entity is created, assembled, or made ready through the actions or processes performed by another entity.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1259cd08190a75eeacb5e39b858 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:39 p.m.