Triple
T6522205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Football League academies |
E151210
|
entity |
| Predicate | includesAgeGroup |
P19123
|
FINISHED |
| Object | under-9 |
—
|
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: under-9 | Statement: [English Football League academies, includesAgeGroup, under-9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesAgeGroup Context triple: [English Football League academies, includesAgeGroup, under-9]
-
A.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
B.
ageGroup
chosen
Indicates the categorical age range or bracket to which an entity belongs.
-
C.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
D.
performedForAgeGroup
Indicates that an action or performance is specifically intended for, targeted at, or carried out on behalf of a particular age group.
-
E.
supportsAgeDiscounts
Indicates that the subject entity offers or honors special pricing or discounts based on a person's age.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad95c2c88190b800aaaa73f99210 |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.