Triple
T11816113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenwich Hospital School |
E281003
|
entity |
| Predicate | typicalPupilBackground |
P4566
|
FINISHED |
| Object | seafaring families |
—
|
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: seafaring families | Statement: [Greenwich Hospital School, typicalPupilBackground, seafaring families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPupilBackground Context triple: [Greenwich Hospital School, typicalPupilBackground, seafaring families]
-
A.
typicalPupilDestination
Indicates the usual or most common destination or next institution that pupils from a given school or educational setting go on to attend.
-
B.
typicalBackground
chosen
Indicates that an entity has a usual or commonly expected background, context, or setting associated with it.
-
C.
notablePupil
Indicates that one person is a distinguished or noteworthy student or protégé of another person.
-
D.
typicalApplicantBackground
Indicates that there is a commonly observed or standard set of characteristics or experiences that describe the usual background of an applicant for a given role or program.
-
E.
primaryStudentBody
Indicates that one entity serves as the main group of enrolled students associated with an educational institution or program.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.