Triple
T32258154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LTL |
E824076
|
entity |
| Predicate | hasSemanticDomain |
P196831
|
FINISHED |
| Object | infinite sequences of states |
—
|
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: infinite sequences of states | Statement: [LTL, hasSemanticDomain, infinite sequences of states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSemanticDomain Context triple: [LTL, hasSemanticDomain, infinite sequences of states]
-
A.
hasSemantics
Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
-
B.
hasMeaningDomain
chosen
Indicates that something (such as a term, symbol, or expression) is associated with a particular conceptual or semantic domain in which its meaning is defined or applicable.
-
C.
hasSemanticsDefinedBy
Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
-
D.
hasSemanticRestriction
Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
-
E.
hasLinguisticDomain
Indicates that something (such as a term, expression, or resource) is associated with or applies within a particular linguistic domain or language 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_69f3490db0748190bfef6e50c95d39d3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff41645c548190b7cb4e53079b93ef |
completed | May 9, 2026, 2:15 p.m. |
| PD | Predicate disambiguation | batch_69ff410aa33c8190869ba769ac2a93ce |
completed | May 9, 2026, 2:13 p.m. |
Created at: May 1, 2026, 12:41 a.m.