Triple
T36148394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vetera |
E1045514
|
entity |
| Predicate | militaryNetwork |
P192404
|
FINISHED |
| Object | part of chain of Rhine legionary bases |
—
|
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: part of chain of Rhine legionary bases | Statement: [Vetera, militaryNetwork, part of chain of Rhine legionary bases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryNetwork Context triple: [Vetera, militaryNetwork, part of chain of Rhine legionary bases]
-
A.
militarySystem
Indicates a relationship where an entity functions as, belongs to, or is characterized by a particular military organizational or operational system.
-
B.
militaryDomain
Indicates that the relationship or action occurs within, pertains to, or is specifically associated with the military sphere or context.
-
C.
militarySignal
Indicates a relationship where one party sends or uses a signal for military or defense-related purposes toward another party or target.
-
D.
militarySection
Indicates that one entity is a specific branch, division, or section within a larger military organization or force.
-
E.
militaryContext
Indicates that the relationship or action occurs within a military setting, framework, or operational environment.
- F. None of above. chosen
Provenance (4 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69fd098357348190a835c0b6d99857d2 |
completed | May 7, 2026, 9:52 p.m. |
Created at: May 3, 2026, 4:08 p.m.