Triple
T26255226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poincaré upper half-plane model |
E656696
|
entity |
| Predicate | hasNaturalActionBy |
P175296
|
FINISHED |
| Object | Möbius transformations with real coefficients |
—
|
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: Möbius transformations with real coefficients | Statement: [Poincaré upper half-plane model, hasNaturalActionBy, Möbius transformations with real coefficients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNaturalActionBy Context triple: [Poincaré upper half-plane model, hasNaturalActionBy, Möbius transformations with real coefficients]
-
A.
hasNaturalCondition
Indicates that an entity possesses or is subject to a particular natural state, feature, or condition inherent to its environment or biology.
-
B.
hasActionType
Indicates that an action or event is classified as belonging to a specific type or category of actions.
-
C.
hasActs
Indicates that an entity is associated with one or more actions, performances, or deeds it carries out or is responsible for.
-
D.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
E.
hasNaturalContext
Indicates that something exists or occurs within a relevant real-world or naturally occurring situation or environment.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 26, 2026, 9:08 p.m.