Triple
T29901555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reading FC |
E759418
|
entity |
| Predicate | academyCategory |
P152910
|
FINISHED |
| Object | Category One academy (historically) |
—
|
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: Category One academy (historically) | Statement: [Reading FC, academyCategory, Category One academy (historically)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyCategory Context triple: [Reading FC, academyCategory, Category One academy (historically)]
-
A.
academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
-
B.
academyBranch
Indicates that one entity is a branch, division, or subsidiary campus of an academy or educational institution.
-
C.
examCategory
Indicates the classification or type of an exam within a defined set of exam categories.
-
D.
educationCategory
chosen
Indicates the classification of an educational program, content, or activity into a specific type or category based on its subject, level, or purpose.
-
E.
isAcademy
Indicates that an entity functions as or is classified as an academy (an educational or training institution).
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6772ecd788190acfe7c583599b3c1 |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:06 p.m.