Triple
T26255127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farey sequence |
E656694
|
entity |
| Predicate | orderingType |
P164829
|
FINISHED |
| Object | total order on rationals in [0,1] with bounded denominator |
—
|
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: total order on rationals in [0,1] with bounded denominator | Statement: [Farey sequence, orderingType, total order on rationals in [0,1] with bounded denominator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderingType Context triple: [Farey sequence, orderingType, total order on rationals in [0,1] with bounded denominator]
-
A.
orderType
Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
-
B.
orderedBy
Indicates that one entity has placed a request or purchase for another entity, typically specifying who initiated the order.
-
C.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
D.
orderName
Indicates the designated name or label assigned to a specific order in a transaction or ordering process.
-
E.
orderParameter
Indicates the degree of structural or phase organization in a system, typically quantifying how ordered or coherent its state is relative to disorder.
- 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_69ee5b4d25ac819086acb51184602576 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 26, 2026, 9:08 p.m.