Triple
T5739626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Class Railway Apprentices examination |
E126581
|
entity |
| Predicate | selectionAgeRange |
P2736
|
FINISHED |
| Object | approximately 17 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 17 to 20 years | Statement: [Special Class Railway Apprentices examination, selectionAgeRange, approximately 17 to 20 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: selectionAgeRange Context triple: [Special Class Railway Apprentices examination, selectionAgeRange, approximately 17 to 20 years]
-
A.
ageRange
chosen
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
containsAge
Indicates that one entity includes or specifies the age value or age-related information of another entity.
-
C.
ageRangeUpper
Indicates the maximum age limit that bounds the upper end of an age range associated with an entity or relationship.
-
D.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
E.
typicalAgeAtSelection
Indicates the usual or most common age at which an entity is chosen or selected for a particular role, status, or process.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255dc35c8190ab9ee5d269ce553a |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.