Triple
T568452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | liar paradox |
E13608
|
entity |
| Predicate | statusInLogic |
P16106
|
FINISHED |
| Object | central test case for theories of truth and meaning |
—
|
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: central test case for theories of truth and meaning | Statement: [liar paradox, statusInLogic, central test case for theories of truth and meaning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInLogic Context triple: [liar paradox, statusInLogic, central test case for theories of truth and meaning]
-
A.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
B.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
C.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
D.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
E.
deFactoStatus
Indicates that one entity holds a role, position, or status in practice or by custom, even if it is not formally or legally recognized.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b0406d481908af5fc7bc67103fb |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c2caac819086ab316fa49d324c |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498dd579081908e02368a4c5efc8c |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:33 p.m.