Triple
T10729265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fregean semantics |
E253029
|
entity |
| Predicate | explainsHow |
P3638
|
FINISHED |
| Object | co-referential expressions can differ in cognitive value |
—
|
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: co-referential expressions can differ in cognitive value | Statement: [Fregean semantics, explainsHow, co-referential expressions can differ in cognitive value]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: explainsHow Context triple: [Fregean semantics, explainsHow, co-referential expressions can differ in cognitive value]
-
A.
usedToExplain
chosen
Indicates that one entity serves as an explanation or clarification for another entity.
-
B.
aimsToExplain
Indicates that one entity intends to clarify, make understandable, or provide an explanation about another entity, concept, or situation.
-
C.
laterExplained
Indicates that an earlier event, statement, or situation is clarified or made understandable by information provided at a subsequent time.
-
D.
usageInstruction
Indicates that one entity provides guidance or directions on how to properly use, operate, or handle another entity.
-
E.
teachesAbout
Indicates that one entity provides instruction or information to another entity on a particular subject or topic.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fca498881909b40163a138cfb98 |
completed | April 9, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.