Triple
T1673622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Gurkha recruiting centers in Nepal |
E36179
|
entity |
| Predicate | recruitmentType |
P5414
|
FINISHED |
| Object | voluntary enlistment |
—
|
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: voluntary enlistment | Statement: [British Gurkha recruiting centers in Nepal, recruitmentType, voluntary enlistment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitmentType Context triple: [British Gurkha recruiting centers in Nepal, recruitmentType, voluntary enlistment]
-
A.
employmentType
Indicates the specific kind or category of employment relationship that exists between an individual and an employer (e.g., full-time, part-time, contract).
-
B.
recruitmentFrom
Indicates that one entity recruits or sources members, employees, or participants from another entity.
-
C.
recruitmentBasis
chosen
Indicates the criteria, grounds, or conditions on which an entity is recruited or selected for a role or position.
-
D.
recruitmentBase
Indicates the foundational source, location, or context from which recruitment efforts or recruited entities originate.
-
E.
recruitingScope
Indicates the extent or boundaries within which recruiting activities are conducted or targeted.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.