Triple
T9804555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cottesmore School |
E237920
|
entity |
| Predicate | typicalPupilDestination |
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: [Cottesmore School, typicalPupilDestination, British public schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPupilDestination Context triple: [Cottesmore School, typicalPupilDestination, British public schools]
-
A.
typicalLeavingAge
Indicates the age at which entities (such as people or groups) usually or most commonly leave a given context, place, or situation.
-
B.
educationLocation
Indicates the place or institution where an entity received education or underwent formal learning.
-
C.
awaySchool
Indicates that an entity is located away from or not present at their usual school.
-
D.
schoolLocation
Indicates the place or area where a school is situated or operates.
-
E.
schoolAttended
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
- F. None of above. chosen
Provenance (4 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7a0ce881908f0555d194dece3f |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:29 p.m.