Triple
T26255220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poincaré upper half-plane model |
E656696
|
entity |
| Predicate | hasStandardCoordinate |
P10142
|
FINISHED |
| Object | z = x + i y |
—
|
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: z = x + i y | Statement: [Poincaré upper half-plane model, hasStandardCoordinate, z = x + i y]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandardCoordinate Context triple: [Poincaré upper half-plane model, hasStandardCoordinate, z = x + i y]
-
A.
hasCoordinatesType
Indicates that an entity is associated with a specific type or system of coordinates used to define its position.
-
B.
hasCoordinates
chosen
Indicates that an entity is associated with specific spatial coordinates that define its position in a given reference system.
-
C.
hasCoordinateRole
Indicates that one entity shares an equivalent or parallel role or function with another entity within the same context or structure.
-
D.
hasCoordinateDescription
Indicates that an entity is associated with a textual or structured description of its spatial or geographic coordinates.
-
E.
hasCoordinatePrecision
Indicates the degree of exactness or granularity with which an entity’s spatial coordinates are specified.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 26, 2026, 9:08 p.m.