Triple
T417970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consubstantiation |
E8036
|
entity |
| Predicate | hasKeyTerm |
P2920
|
FINISHED |
| Object | substance |
—
|
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: substance | Statement: [Consubstantiation, hasKeyTerm, substance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyTerm Context triple: [Consubstantiation, hasKeyTerm, substance]
-
A.
hasTerm
chosen
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
B.
hasKeyWork
Indicates that an entity possesses or is associated with a primary or central work (such as a main publication, artwork, or project) that is especially representative or important.
-
C.
hasNumberOfTerms
Indicates the quantity of distinct terms or elements associated with a given entity or expression.
-
D.
hasKeyOrganization
Indicates that an entity is associated with or primarily represented by a main or primary organization.
-
E.
hasKeyFigure
Indicates that an entity includes, involves, or is characterized by an important or central person relevant to it.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eebde1d881908fb212bfba9d7c67 |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd1ca148190a66bd8c5aad867d5 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.