Triple
T8058871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hegelian dialectics |
E188065
|
entity |
| Predicate | associatedWithFormula |
P37405
|
FINISHED |
| Object | thesis–antithesis–synthesis |
—
|
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: thesis–antithesis–synthesis | Statement: [Hegelian dialectics, associatedWithFormula, thesis–antithesis–synthesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithFormula Context triple: [Hegelian dialectics, associatedWithFormula, thesis–antithesis–synthesis]
-
A.
relatedByFormula
chosen
Indicates that one entity is mathematically or logically derived from, or connected to, another according to a specific formula.
-
B.
associatedWithForm
Indicates a relationship in which something is linked or connected to a particular form, document, or structured representation.
-
C.
associatedWithExpression
Indicates a relationship where one entity is linked or connected to a particular expression (such as a phrase, symbol, or formal representation) that characterizes or represents it.
-
D.
associatedWithFormat
Indicates a relationship where something is linked or connected to a particular format or formatting standard.
-
E.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
- 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fa51adc8190b9327441bd8b9fb3 |
completed | March 31, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:25 p.m.