Triple
T21626770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adikia |
E533724
|
entity |
| Predicate | hasAbstractType |
P145275
|
FINISHED |
| Object | moral abstraction |
—
|
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: moral abstraction | Statement: [Adikia, hasAbstractType, moral abstraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAbstractType Context triple: [Adikia, hasAbstractType, moral abstraction]
-
A.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
B.
hasConcretionType
Indicates that an entity possesses or is associated with a specific type or category of concretion.
-
C.
hasAssociatedType
Indicates that one entity is linked to another entity that specifies its type, category, or classification.
-
D.
usesAbstraction
Indicates that one entity employs or relies on an abstract representation or interface of another entity rather than interacting with its concrete implementation directly.
-
E.
hasAuxiliaryType
Indicates that an entity is associated with a secondary or supporting type that complements its primary classification.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.