Triple
T28693863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misharu |
E729358
|
entity |
| Predicate | conceptualAssociation |
P109555
|
FINISHED |
| Object | law |
—
|
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: law | Statement: [Misharu, conceptualAssociation, law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conceptualAssociation Context triple: [Misharu, conceptualAssociation, law]
-
A.
conceptualAspect
Indicates that one entity represents an abstract, conceptual, or non-physical aspect, feature, or dimension of another entity.
-
B.
isConceptualizedAs
Indicates that one entity is mentally represented, interpreted, or understood in terms of another entity.
-
C.
conceptualType
chosen
Indicates that one entity represents the conceptual category, class, or abstract type to which another entity belongs.
-
D.
elementalAssociation
Indicates an association where one entity is linked or related to a particular element or elemental property (such as fire, water, earth, or air).
-
E.
shapeAssociation
Indicates a relationship where one entity is associated with, characterized by, or linked to a particular shape of another entity.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 28, 2026, 5:38 a.m.