Triple
T34585639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S^2 × R geometry |
E888036
|
entity |
| Predicate | hasFactor |
P195008
|
FINISHED |
| Object | S^2 |
—
|
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: S^2 | Statement: [S^2 × R geometry, hasFactor, S^2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFactor Context triple: [S^2 × R geometry, hasFactor, S^2]
-
A.
hasDenominatorFactor
Indicates that one value appears as a factor in the denominator of another value or expression.
-
B.
hasGeneralFactorForm
Indicates that one expression can be represented in a general factored form that serves as a common factorization pattern for another expression.
-
C.
considersFactor
Indicates that one entity takes another entity into account as a factor when forming a judgment, decision, or evaluation.
-
D.
hasFlowFactor
Indicates that one entity is associated with a specific flow-related characteristic, parameter, or influence that affects how something moves, transfers, or progresses between or within entities.
-
E.
hasFacet
Indicates that an entity possesses a particular aspect, side, or dimension as one of its distinguishable parts or characteristics.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: May 1, 2026, 2:03 a.m.