Triple
T26255209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poincaré upper half-plane model |
E656696
|
entity |
| Predicate | hasDistanceElement |
P175202
|
FINISHED |
| Object | ds = √(dx² + dy²)/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: ds = √(dx² + dy²)/y | Statement: [Poincaré upper half-plane model, hasDistanceElement, ds = √(dx² + dy²)/y]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistanceElement Context triple: [Poincaré upper half-plane model, hasDistanceElement, ds = √(dx² + dy²)/y]
-
A.
hasDistanceReference
Indicates that a distance value is specified relative to a particular reference point, scale, or standard.
-
B.
hasDistanceUnit
Indicates that a specified unit of measurement is used to express a distance value in the relationship.
-
C.
hasDistanceCategory
Indicates that one entity is associated with a qualitative or categorical classification of its distance relative to another entity or reference point.
-
D.
hasWellMeasuredDistances
Indicates that accurate and reliable distance measurements have been obtained between the related entities.
-
E.
hasMultipleDistances
Indicates that a relationship or connection involves more than one distinct distance or separation value between the related entities.
- 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_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 26, 2026, 9:08 p.m.