Triple
T17569383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equatable |
E427894
|
entity |
| Predicate | comparisonSemantics |
P92014
|
FINISHED |
| Object | should represent value equality |
—
|
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: should represent value equality | Statement: [Equatable, comparisonSemantics, should represent value equality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparisonSemantics Context triple: [Equatable, comparisonSemantics, should represent value equality]
-
A.
comparisonType
Indicates the specific kind of comparison being made between two or more values or entities (e.g., equality, inequality, ordering, or similarity).
-
B.
comparisonProperty
Indicates that one entity is being compared to another based on a specific shared property or attribute.
-
C.
comparisonClass
Indicates that something is being evaluated or interpreted relative to a specified reference group or standard for comparison.
-
D.
comparisonRule
chosen
Indicates a rule or criterion that defines how two or more entities are to be compared or evaluated relative to each other.
-
E.
comparisonReason
Indicates that one entity is being compared to another specifically due to a stated reason, motive, or basis for the comparison.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592fe8408190bd8fed1920ab3601 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.