Triple
T6282468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lie subgroup |
E140811
|
entity |
| Predicate | hasMorphisms |
P33476
|
FINISHED |
| Object | smooth group homomorphisms between Lie subgroups |
—
|
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: smooth group homomorphisms between Lie subgroups | Statement: [Lie subgroup, hasMorphisms, smooth group homomorphisms between Lie subgroups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMorphisms Context triple: [Lie subgroup, hasMorphisms, smooth group homomorphisms between Lie subgroups]
-
A.
isIsomorphicTo
Indicates that two structures have a one-to-one, structure-preserving correspondence between their elements, making them equivalent in form even if not identical in content.
-
B.
hasArc
Indicates that there is a directed connection or edge from one entity to another, often representing a link in a graph or network.
-
C.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
D.
hasRelation
chosen
Indicates that there exists some specified relationship or association between two entities.
-
E.
hasMorphologicalType
Indicates that an entity possesses or is classified by a particular morphological type or structural form.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063f956c08190ae0f198ccbd68b42 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.