Triple
T124543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | logical positivism |
E2516
|
entity |
| Predicate | methodologicalStance |
P1717
|
FINISHED |
| Object | unification of science |
—
|
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: unification of science | Statement: [logical positivism, methodologicalStance, unification of science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodologicalStance Context triple: [logical positivism, methodologicalStance, unification of science]
-
A.
researchApproach
chosen
Indicates the methodological strategy or set of methods used to conduct and structure a research activity or investigation.
-
B.
policyStance
Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
-
C.
assessmentMethod
Indicates the method or procedure used to evaluate, measure, or judge something.
-
D.
scholarlyView
Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
-
E.
scientificConsensus
Indicates that there is broad agreement among qualified experts or authoritative sources that a particular claim, finding, or theory is valid.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573e4e6481908252dfef2e34f46e |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564a54948190ba30bee858173b27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.