Triple
T5425610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Euclidean group |
E121354
|
entity |
| Predicate | identityElement |
P19411
|
FINISHED |
| Object | identity isometry |
—
|
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: identity isometry | Statement: [Euclidean group, identityElement, identity isometry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identityElement Context triple: [Euclidean group, identityElement, identity isometry]
-
A.
hasIdentityElement
chosen
Indicates that a binary operation on a set has a special element which, when combined with any element of the set, leaves that element unchanged.
-
B.
identityBasis
Indicates that one entity serves as the defining basis, criterion, or foundation for determining the identity of another entity.
-
C.
identifierFor
Indicates that one entity serves as a unique identifying label or code for another entity.
-
D.
identityConcept
Indicates that two concepts are the same in identity, representing exactly the same underlying idea or meaning.
-
E.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
- 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.