Triple
T37840967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosser sentence |
E943472
|
entity |
| Predicate | assumptionWeakenedTo |
P189549
|
FINISHED |
| Object | mere consistency |
—
|
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: mere consistency | Statement: [Rosser sentence, assumptionWeakenedTo, mere consistency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assumptionWeakenedTo Context triple: [Rosser sentence, assumptionWeakenedTo, mere consistency]
-
A.
assumptionWeakenedFrom
Indicates that one assumption is a weaker or less restrictive version derived from another, stronger assumption.
-
B.
aimedToWeaken
Indicates an action or strategy that was intentionally directed toward reducing the strength, influence, or effectiveness of a target.
-
C.
assumptionTested
Indicates that an assumption or hypothesis has been subjected to a test or evaluation to verify its validity.
-
D.
rejectsAssumption
Indicates that one entity explicitly refuses to accept or denies the validity of a proposed assumption made by another entity.
-
E.
weakenedDuring
Indicates that an entity’s strength, intensity, or effectiveness is reduced over the course of a specified time period or event.
- F. None of above. chosen
Provenance (4 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:19 p.m.