Triple
T22323740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colet Court |
E551850
|
entity |
| Predicate | relationshipToSeniorSchool |
P147734
|
FINISHED |
| Object | feeder to St Paul’s School, London |
—
|
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: feeder to St Paul’s School, London | Statement: [Colet Court, relationshipToSeniorSchool, feeder to St Paul’s School, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSeniorSchool Context triple: [Colet Court, relationshipToSeniorSchool, feeder to St Paul’s School, London]
-
A.
relationshipToEd
Indicates the specific type of relationship or connection that an entity has to Ed.
-
B.
relationshipToStudents
Indicates the type or nature of connection one entity has with students, such as role, affiliation, or responsibility toward them.
-
C.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
D.
studentOrRelative
Indicates that the subject is either a student of the object or a relative of the object.
-
E.
relationshipToUniversity
Indicates the type or nature of a person's or entity's connection or affiliation with a specific university.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1576668b48190a78848c4a54acb39 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.