Triple
T12547272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sevenoaks School |
E300003
|
entity |
| Predicate | adoptedIBDiploma |
P46037
|
FINISHED |
| Object | 1978 |
—
|
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: 1978 | Statement: [Sevenoaks School, adoptedIBDiploma, 1978]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptedIBDiploma Context triple: [Sevenoaks School, adoptedIBDiploma, 1978]
-
A.
diplomaEquivalence
Indicates that one diploma or academic qualification is recognized as equivalent in value or status to another.
-
B.
internationalProgram
Indicates a program that involves participation, collaboration, or exchange across multiple countries or international boundaries.
-
C.
adoptedProgramme
chosen
Indicates that an entity has formally accepted and put into practice a specific programme or plan.
-
D.
diplomaText
Indicates that one entity is the textual content or wording that appears on another entity’s diploma.
-
E.
adopted
Indicates that one entity has legally taken another (often a child or animal) into its family or care as a permanent member.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.