Triple
T10587999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craigflower Preparatory School |
E249904
|
entity |
| Predicate | hasPupilDestination |
P90064
|
FINISHED |
| Object | British public 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 public schools | Statement: [Craigflower Preparatory School, hasPupilDestination, British public schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPupilDestination Context triple: [Craigflower Preparatory School, hasPupilDestination, British public schools]
-
A.
hasFormerPupilRole
Indicates that an entity previously held the role or position of a pupil or student in relation to another entity.
-
B.
hasPrivateDestination
Indicates that an entity is associated with a destination that is not publicly accessible or is intended for restricted/private use.
-
C.
hasDestinationRegion
Indicates that something is directed, sent, or intended to arrive at a particular geographic or logical region as its destination.
-
D.
hasTramDestination
Indicates that a tram route or service goes to or terminates at a specified destination.
-
E.
typicalPupilDestination
chosen
Indicates the usual or most common destination or next institution that pupils from a given school or educational setting go on to attend.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527793c588190bfe3a5261eb7f919 |
completed | April 7, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
Created at: April 6, 2026, 12:40 p.m.