Triple
T1703438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Optimates |
E36816
|
entity |
| Predicate | favoredPolicy |
P12179
|
FINISHED |
| Object | senatorial control of magistracies |
—
|
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: senatorial control of magistracies | Statement: [Optimates, favoredPolicy, senatorial control of magistracies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: favoredPolicy Context triple: [Optimates, favoredPolicy, senatorial control of magistracies]
-
A.
favored
chosen
Indicates that one entity is preferred, supported, or given advantage over others by another entity.
-
B.
governingPolicy
Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
-
C.
decisionPublicationPolicy
Indicates the policy or rules governing how decisions are made public or communicated.
-
D.
ordinationPolicy
Indicates the rules or criteria governing how entities are ordered, ranked, or arranged relative to one another.
-
E.
implementedPolicy
Indicates that a particular policy has been put into effect or carried out by an 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab75ad24408190814069e6e3ef9e59 |
completed | March 7, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69aa61bad17c8190861b92cfb423f68f |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.