Triple
T32469780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Münchhausen trilemma |
E829818
|
entity |
| Predicate | option3 |
P174212
|
FINISHED |
| Object | arbitrary stopping point or dogmatic axiom |
—
|
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: arbitrary stopping point or dogmatic axiom | Statement: [Münchhausen trilemma, option3, arbitrary stopping point or dogmatic axiom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: option3 Context triple: [Münchhausen trilemma, option3, arbitrary stopping point or dogmatic axiom]
-
A.
optionedBy
Indicates that the rights to develop, produce, or exploit something (such as a work, property, or asset) have been contractually secured by a particular party.
-
B.
typicalOption
Indicates that one option is considered standard, common, or most representative among a set of possible options.
-
C.
noOption
Indicates that no valid or applicable option is available or selected in the given context.
-
D.
optionType
Indicates the specific category or kind an option belongs to within a set of possible choices.
-
E.
constraintOption
Indicates that one entity represents a specific selectable option or value that can be chosen to satisfy or configure a constraint imposed by another entity.
- F. None of above. chosen
Provenance (4 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c354b42c8190a72d2c0c69babf5e |
completed | May 3, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:57 a.m.