Triple
T406120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Foundation College Harrogate |
E9387
|
entity |
| Predicate | ageRangeOfRecruits |
P3527
|
FINISHED |
| Object | 16–17 years |
—
|
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: 16–17 years | Statement: [Army Foundation College Harrogate, ageRangeOfRecruits, 16–17 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRangeOfRecruits Context triple: [Army Foundation College Harrogate, ageRangeOfRecruits, 16–17 years]
-
A.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
admittedCadetsAged
chosen
Indicates that an institution has admitted cadets who are of a specified age or within a specified age range.
-
C.
servesAgeRange
Indicates that a service, product, or offering is intended for or applicable to entities within a specified age range.
-
D.
estimatedNumberEmancipated
Indicates the estimated count of individuals who have been emancipated.
-
E.
recruitmentFrom
Indicates that one entity recruits or sources members, employees, or participants from another entity.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecbc00508190bbb602179273f29c |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e971a3a481909e6b075f25dd234a |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.