Triple
T2429172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeno of Elea |
E52801
|
entity |
| Predicate | aimOfParadoxes |
P19801
|
FINISHED |
| Object | defend Parmenides' monism |
—
|
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: defend Parmenides' monism | Statement: [Zeno of Elea, aimOfParadoxes, defend Parmenides' monism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimOfParadoxes Context triple: [Zeno of Elea, aimOfParadoxes, defend Parmenides' monism]
-
A.
paradoxType
Indicates the specific kind or category of paradox that characterizes the relationship or situation.
-
B.
aimsToExplain
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
-
C.
aimsToSolve
chosen
Indicates an intention or purpose directed toward resolving, addressing, or eliminating a particular problem, challenge, or issue.
-
D.
contradictedTheory
Indicates that one entity has presented evidence, arguments, or findings that oppose, challenge, or invalidate the theory proposed by another entity.
-
E.
antagonistOf
Indicates a relationship where one entity actively opposes, conflicts with, or serves as an adversary to another.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:43 p.m.