Triple
T28652718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Thomian |
E725242
|
entity |
| Predicate | associatedWithSchoolAffiliation |
P42300
|
FINISHED |
| Object | Anglican school |
—
|
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: Anglican school | Statement: [Old Thomian, associatedWithSchoolAffiliation, Anglican school]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithSchoolAffiliation Context triple: [Old Thomian, associatedWithSchoolAffiliation, Anglican school]
-
A.
associatedWithSchool
chosen
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
B.
hasAffiliatedSchoolsIn
Indicates that an entity maintains formal affiliations or partnerships with schools located in a specified place or region.
-
C.
associatedWithTypeOfSchool
Indicates that an entity has an association or connection with a particular type or category of school.
-
D.
associatedWithInstitution
Indicates that an entity has a formal or recognized connection or affiliation with an institution.
-
E.
alsoAttendedSchool
Indicates that two or more entities attended the same school in addition to any other schools they may have attended.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a01a534a8908190aa888d6be5deb824 |
completed | May 11, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_6a01a507c1f081909ff6abc5575db0bb |
completed | May 11, 2026, 9:44 a.m. |
Created at: April 28, 2026, 4:53 a.m.