Triple
T8311038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarasicodissa Zeno |
E194589
|
entity |
| Predicate | aimOfPolicy |
P14666
|
FINISHED |
| Object | reconcile Chalcedonian and Miaphysite Christians |
—
|
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: reconcile Chalcedonian and Miaphysite Christians | Statement: [Tarasicodissa Zeno, aimOfPolicy, reconcile Chalcedonian and Miaphysite Christians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimOfPolicy Context triple: [Tarasicodissa Zeno, aimOfPolicy, reconcile Chalcedonian and Miaphysite Christians]
-
A.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
B.
aimOfCampaign
Indicates that a campaign is directed toward achieving a particular goal or objective.
-
C.
hasPolicyGoal
chosen
Indicates that an entity is associated with, or aims to achieve, a specific policy objective or target.
-
D.
policyFocus
Indicates that an entity (such as a person, organization, or document) is primarily concerned with, directed toward, or centered on a particular policy area or issue.
-
E.
aimsToSolve
Indicates an intention or purpose directed toward resolving, addressing, or eliminating a particular problem, challenge, or issue.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2eecb08190ae0ba8adbaf58c8f |
completed | March 31, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69cb70bb3a708190bc705222092da614 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:54 p.m.