Triple
T22643405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Situationism |
E558889
|
entity |
| Predicate | centralConceptDefinedAs |
P64869
|
FINISHED |
| Object | construction of situations |
—
|
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: construction of situations | Statement: [Situationism, centralConceptDefinedAs, construction of situations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralConceptDefinedAs Context triple: [Situationism, centralConceptDefinedAs, construction of situations]
-
A.
definitionOfRelatedConcept
chosen
Indicates that one concept provides the formal meaning, explanation, or characterization of another closely related concept.
-
B.
conceptualMeaning
Indicates the abstract idea, concept, or underlying significance that something represents or conveys.
-
C.
scientificConcept
Indicates that one entity is a scientific idea, principle, or theory that defines, explains, or characterizes the other entity.
-
D.
isConceptualizedAs
Indicates that one entity is mentally represented, interpreted, or understood in terms of another entity.
-
E.
exportsConcept
Indicates that one entity sends or supplies a concept, idea, or abstract knowledge resource from itself to another entity or context.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703577948190ae044df4f8500bfe |
completed | April 29, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:05 p.m.