Triple
T9121143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Training Regiment (historical) |
E218851
|
entity |
| Predicate | recruitsTrained |
P40765
|
FINISHED |
| Object | regular army recruits |
—
|
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: regular army recruits | Statement: [Army Training Regiment (historical), recruitsTrained, regular army recruits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitsTrained Context triple: [Army Training Regiment (historical), recruitsTrained, regular army recruits]
-
A.
providesTrainingFor
chosen
Indicates that one entity delivers or conducts training activities intended to develop the skills or knowledge of another entity.
-
B.
recruitsFor
Indicates that one entity actively seeks out, enlists, or brings in participants, members, or resources on behalf of another entity, such as an organization, event, or cause.
-
C.
classOfRecruit
Indicates that one entity is the class, category, or type to which the recruit entity belongs.
-
D.
recruitedAs
Indicates that one entity has been brought into a role, position, or organization by another through a recruitment process.
-
E.
trainingGround
Indicates a location or context where entities engage in practice, drills, or preparation activities to develop or improve skills.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b32ba88190b2b4406c7b905cca |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:17 p.m.