Triple
T8924262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesarian faction |
E212500
|
entity |
| Predicate | hasMilitarySupportFrom |
P8529
|
FINISHED |
| Object | Legions loyal to Julius Caesar |
—
|
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: Legions loyal to Julius Caesar | Statement: [Caesarian faction, hasMilitarySupportFrom, Legions loyal to Julius Caesar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMilitarySupportFrom Context triple: [Caesarian faction, hasMilitarySupportFrom, Legions loyal to Julius Caesar]
-
A.
receivesMilitaryAidFrom
chosen
Indicates that one entity obtains military assistance, such as equipment, training, or funding, from another entity.
-
B.
providedMilitaryAidTo
Indicates that one entity has supplied military assistance, such as weapons, training, funding, or logistical support, to another entity.
-
C.
diplomaticSupportFrom
Indicates that one entity provides diplomatic backing, advocacy, or assistance to another in international or political affairs.
-
D.
belligerentSupport
Indicates support given to a party engaged in conflict or hostilities, often implying backing one side in a belligerent or warlike context.
-
E.
hasMilitaryPresence
Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66547de881909ea9bfd104b32893 |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed0ef3c81908cc69eac852ee12a |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:57 p.m.