Triple
T10198055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbrand interpretation |
E238813
|
entity |
| Predicate | truthAssignmentType |
P61931
|
FINISHED |
| Object | two-valued truth assignment |
—
|
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: two-valued truth assignment | Statement: [Herbrand interpretation, truthAssignmentType, two-valued truth assignment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: truthAssignmentType Context triple: [Herbrand interpretation, truthAssignmentType, two-valued truth assignment]
-
A.
logicType
Indicates the specific kind or category of logical system, rule, or reasoning framework that an entity or statement belongs to.
-
B.
assignmentType
chosen
Indicates the specific category or kind of assignment associated with an entity or activity.
-
C.
decisionType
Indicates the specific category or nature of a decision associated with an entity or event.
-
D.
logicalTrait
Indicates that an entity possesses a characteristic, behavior, or quality related to logical reasoning or structured thinking.
-
E.
typeOfTrust
Indicates the specific kind or category of trust that characterizes the relationship between entities.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3c44408190b09fa41f2d257c04 |
completed | April 2, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:13 p.m.