Triple
T1849284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independent Schools Inspectorate |
E41356
|
entity |
| Predicate | inspectionType |
P18396
|
FINISHED |
| Object | educational quality inspection |
—
|
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: educational quality inspection | Statement: [Independent Schools Inspectorate, inspectionType, educational quality inspection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspectionType Context triple: [Independent Schools Inspectorate, inspectionType, educational quality inspection]
-
A.
isInspected
Indicates that an entity is examined or checked by another entity to assess its condition, quality, or compliance.
-
B.
inspectionAuthority
chosen
Indicates that one entity has the official power or responsibility to inspect, examine, or audit another entity or its activities.
-
C.
isSeeOf
Indicates that one entity serves as the episcopal or ecclesiastical seat (see) of another, typically a bishop or similar religious office.
-
D.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
E.
sightType
Indicates the specific kind or category of sight or visual perception associated with an entity or event.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdca6d8819083c66f3a29fd9fd1 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.