Triple
T9486832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | limitanei |
E228782
|
entity |
| Predicate | recruitmentPattern |
P10833
|
FINISHED |
| Object | locally recruited soldiers |
—
|
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: locally recruited soldiers | Statement: [limitanei, recruitmentPattern, locally recruited soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recruitmentPattern Context triple: [limitanei, recruitmentPattern, locally recruited soldiers]
-
A.
recruitmentBase
Indicates the foundational source, location, or context from which recruitment efforts or recruited entities originate.
-
B.
recruitmentFrom
Indicates that one entity recruits or sources members, employees, or participants from another entity.
-
C.
recruitmentPolicy
Indicates the rules, criteria, and procedures an organization follows when attracting, selecting, and hiring candidates.
-
D.
recruitmentBasis
Indicates the criteria, grounds, or conditions on which an entity is recruited or selected for a role or position.
-
E.
recruitingScope
chosen
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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd8051303881909566126a2688e41c |
completed | April 1, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:55 p.m.