Triple
T25073839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euclidean domain |
E627994
|
entity |
| Predicate | hasDefinitionComponent |
P164776
|
FINISHED |
| Object | Euclidean function |
—
|
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: Euclidean function | Statement: [Euclidean domain, hasDefinitionComponent, Euclidean function]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDefinitionComponent Context triple: [Euclidean domain, hasDefinitionComponent, Euclidean function]
-
A.
hasDefinition
Indicates that one entity provides the meaning, explanation, or definition of another entity.
-
B.
hasComponentModel
Indicates that an entity includes or is associated with a specific component model as part of its structure or configuration.
-
C.
hasSubcomponent
Indicates that one entity is a constituent part or component of another, larger entity.
-
D.
hasFoundingComponent
Indicates that an entity includes another entity as a key element or constituent part involved in its founding or establishment.
-
E.
hasComponentForm
Indicates that one entity exists as a structural or compositional form or variant of 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 18, 2026, 6:20 a.m.