Triple
T25063682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Levi-Civita field |
E627727
|
entity |
| Predicate | hasOrdering |
P127490
|
FINISHED |
| Object | lexicographic order on exponents and coefficients |
—
|
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: lexicographic order on exponents and coefficients | Statement: [Levi-Civita field, hasOrdering, lexicographic order on exponents and coefficients]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrdering Context triple: [Levi-Civita field, hasOrdering, lexicographic order on exponents and coefficients]
-
A.
hasOrderingMethod
Indicates that there is a specific method or procedure used to place or arrange an order for something.
-
B.
hasOrder
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
-
C.
hasOrderStructure
chosen
Indicates that there is a defined ordering relation imposed on the elements of a set or collection, specifying how they are arranged or compared in terms of order.
-
D.
sortingOrderSupport
Indicates whether a system or component supports arranging items according to a specified sorting order.
-
E.
hasColumnOrder
Indicates that one column in a sequence is positioned before or after another column, specifying their relative ordering.
- 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 18, 2026, 6:10 a.m.