Triple
T20789882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reigate Priory Junior School |
E511743
|
entity |
| Predicate | hasSchoolWebsite |
P141549
|
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: [Reigate Priory Junior School, hasSchoolWebsite, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolWebsite Context triple: [Reigate Priory Junior School, hasSchoolWebsite, true]
-
A.
hasUniversityWebsite
Indicates that a university is associated with a specific official website.
-
B.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
-
C.
hasSchoolOrganization
Indicates that an educational institution is associated with or contains a specific school-related organization or group.
-
D.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
E.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28f0e1081909f18dddfc6ec084c |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:38 p.m.