Triple
T22112557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester City F.C. Under-18s |
E546452
|
entity |
| Predicate | categoryOfAcademy |
P126068
|
FINISHED |
| Object | elite youth academy |
—
|
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: elite youth academy | Statement: [Manchester City F.C. Under-18s, categoryOfAcademy, elite youth academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryOfAcademy Context triple: [Manchester City F.C. Under-18s, categoryOfAcademy, elite youth academy]
-
A.
isAcademy
chosen
Indicates that an entity functions as or is classified as an academy (an educational or training institution).
-
B.
academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
-
C.
academicInstitutionType
Indicates the specific category or kind of academic institution an entity is classified as (e.g., university, college, high school).
-
D.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
-
E.
schoolOf
Indicates that an educational institution is the one where a person studied, worked, or is otherwise academically affiliated.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294ae7608190901745384a023bab |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.