Triple
T20627269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pfaffian form |
E506851
|
entity |
| Predicate | typicalLocalExpression |
P70766
|
FINISHED |
| Object | ω = Σᵢ aᵢ(x) dxᵢ |
—
|
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: ω = Σᵢ aᵢ(x) dxᵢ | Statement: [Pfaffian form, typicalLocalExpression, ω = Σᵢ aᵢ(x) dxᵢ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLocalExpression Context triple: [Pfaffian form, typicalLocalExpression, ω = Σᵢ aᵢ(x) dxᵢ]
-
A.
hasLocalExpression
chosen
Indicates that something has a specific form, representation, or manifestation that is valid or defined only within a particular local context or region.
-
B.
coordinateExpression
Indicates that one expression is syntactically or semantically coordinated with another, typically as part of a compound structure (e.g., joined by "and" or "or").
-
C.
typeOfExpression
Indicates that one entity is classified as a specific kind or category of expression represented by the other entity.
-
D.
usedInExpression
Indicates that one entity (typically a term, symbol, or construct) is employed as a component within another entity that represents an expression.
-
E.
entersExpression
Indicates that one entity moves into, penetrates, or passes through another entity or defined space.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe576c081909231dc0d7304b9a9 |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:42 a.m.