Triple
T6282287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lie ring |
E140808
|
entity |
| Predicate | hasBinaryOperation |
P69847
|
FINISHED |
| Object | [·,·] |
—
|
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: [·,·] | Statement: [Lie ring, hasBinaryOperation, [·,·]]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBinaryOperation Context triple: [Lie ring, hasBinaryOperation, [·,·]]
-
A.
hasBinary
Indicates that one entity is associated with another entity in a binary (two-component) relationship, typically as one of the two members of a pair.
-
B.
hasOperationType
Indicates the specific kind or category of operation associated with an entity or process.
-
C.
hasConjugationOperation
Indicates that there exists an operation that transforms an entity into its conjugate form (e.g., algebraic, complex, or grammatical conjugation).
-
D.
hasBusinessOperation
Indicates that one entity conducts, manages, or is engaged in a commercial or organizational activity involving another entity.
-
E.
hasMainOperatorFlagState
Indicates that an entity’s primary operator is associated with, or currently in, a specific flag-defined state.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063f956c08190ae0f198ccbd68b42 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05b37ac1881909e947822490ba4f2 |
completed | March 22, 2026, 9:12 p.m. |
Created at: March 22, 2026, 4:26 p.m.