Triple
T30694536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page Corps |
E781419
|
entity |
| Predicate | ageRangeOfCadets |
P2736
|
FINISHED |
| Object | approximately 10 to 20 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: approximately 10 to 20 years | Statement: [Page Corps, ageRangeOfCadets, approximately 10 to 20 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRangeOfCadets Context triple: [Page Corps, ageRangeOfCadets, approximately 10 to 20 years]
-
A.
admittedCadetsAged
Indicates that an institution has admitted cadets who are of a specified age or within a specified age range.
-
B.
hasCadetMinimumAge
Indicates that there is a specified minimum age requirement for someone to qualify as a cadet.
-
C.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
D.
hasCadetRank
Indicates that an entity holds or is assigned a cadet-level rank within a hierarchical or military-style ranking system.
-
E.
hasCadetRankStructure
Indicates that an entity possesses or defines an organizational hierarchy of cadet ranks.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68bda88048190bdd6992094c7644d |
completed | May 2, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:33 p.m.