Triple
T5893524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Civilis |
E131047
|
entity |
| Predicate | rankOrRole |
P34138
|
FINISHED |
| Object | officer in auxiliary troops |
—
|
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: officer in auxiliary troops | Statement: [Julius Civilis, rankOrRole, officer in auxiliary troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankOrRole Context triple: [Julius Civilis, rankOrRole, officer in auxiliary troops]
-
A.
rankWithinOrganization
chosen
Indicates the relative hierarchical position or level an entity holds within a specific organization.
-
B.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
C.
rankStatus
Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
-
D.
ordinationRole
Indicates the specific religious or ceremonial office, function, or capacity in which an entity is formally ordained.
-
E.
rankRange
Indicates that an entity’s rank falls within a specified minimum and maximum range.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0400f1af881908d376ea4793f6dea |
completed | March 22, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69c0334dc8248190b7394dcece362d52 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:58 p.m.