Triple
T10729209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fregean sense |
E253028
|
entity |
| Predicate | hasOriginalTerm |
P2920
|
FINISHED |
| Object | Sinn |
—
|
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: Sinn | Statement: [Fregean sense, hasOriginalTerm, Sinn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalTerm Context triple: [Fregean sense, hasOriginalTerm, Sinn]
-
A.
hasOriginalPrefix
Indicates that an entity retains or is associated with its initial or primary prefix from which later forms or variants are derived.
-
B.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
C.
hasOriginalOperator
Indicates that an entity is associated with the operator that originally created, owned, or controlled it.
-
D.
hasCanonicalTerm
Indicates that one term in a set is designated as the standard or authoritative form used to represent a concept or entity.
-
E.
hasTerm
chosen
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
- 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.