Triple
T857975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frege’s system in "Grundgesetze der Arithmetik" |
E18534
|
entity |
| Predicate | treatsAsObjects |
P4529
|
FINISHED |
| Object | extensions of concepts |
—
|
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: extensions of concepts | Statement: [Frege’s system in "Grundgesetze der Arithmetik", treatsAsObjects, extensions of concepts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsAsObjects Context triple: [Frege’s system in "Grundgesetze der Arithmetik", treatsAsObjects, extensions of concepts]
-
A.
observedAs
Indicates that one entity is perceived, recorded, or identified in the role, state, or form of another entity.
-
B.
hasObject
Indicates that an entity is associated with or possesses a particular object as part of a relationship or action.
-
C.
treatsLightAs
Indicates that an entity regards or handles light in a particular way or manner.
-
D.
viewOnObjects
Indicates a relationship where an entity directs its view or visual attention toward one or more objects.
-
E.
interpretedAs
chosen
Indicates that something is understood, perceived, or taken to mean something else, often based on context or subjective judgment.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac4f740881909cb59a6c18a77af3 |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa834a588190bca4a0eb83fb3eb6 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.