Triple
T5425626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euclidean group |
E121354
|
entity |
| Predicate | hasGeneralElementForm |
P169
|
FINISHED |
| Object | x ↦ Rx + t with R in O(n) and t in R^n |
—
|
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: x ↦ Rx + t with R in O(n) and t in R^n | Statement: [Euclidean group, hasGeneralElementForm, x ↦ Rx + t with R in O(n) and t in R^n]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeneralElementForm Context triple: [Euclidean group, hasGeneralElementForm, x ↦ Rx + t with R in O(n) and t in R^n]
-
A.
hasFormatElement
Indicates that one entity includes, is composed of, or is associated with a specific structural or formatting component of its overall format.
-
B.
hasLineElementForm
Indicates that something takes the form or representation of a line element within a given structure or context.
-
C.
hasForm
chosen
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
D.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
E.
hasNonStandardForm
Indicates that an entity possesses a form, variant, or representation that deviates from the standard, canonical, or commonly accepted 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.