Triple
T25564619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OWL Lite |
E640801
|
entity |
| Predicate | hasSemanticFoundation |
P74447
|
FINISHED |
| Object | model-theoretic semantics |
—
|
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: model-theoretic semantics | Statement: [OWL Lite, hasSemanticFoundation, model-theoretic semantics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSemanticFoundation Context triple: [OWL Lite, hasSemanticFoundation, model-theoretic semantics]
-
A.
hasSemanticsDefinedBy
chosen
Indicates that the meaning or interpretation of one entity is specified, constrained, or determined by another entity.
-
B.
hasMorphosyntacticBasis
Indicates that one linguistic element’s form or syntactic behavior is grounded in, derived from, or systematically determined by another element’s morphosyntactic properties.
-
C.
hasSemantics
Indicates that one entity carries or encodes the meaning, interpretation, or semantic content associated with another entity.
-
D.
semanticRootMeaning
Indicates the fundamental or core meaning that underlies a word, phrase, or expression in a semantic structure.
-
E.
hasSense
Indicates that an entity possesses or is associated with a particular sensory perception, meaning, or interpretation.
- 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 21, 2026, 3:48 p.m.