Triple
T22423302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős distinct distances problem |
E554301
|
entity |
| Predicate | conjecturedOrderOriginally |
P148130
|
FINISHED |
| Object | n / sqrt(log n) |
—
|
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: n / sqrt(log n) | Statement: [Erdős distinct distances problem, conjecturedOrderOriginally, n / sqrt(log n)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conjecturedOrderOriginally Context triple: [Erdős distinct distances problem, conjecturedOrderOriginally, n / sqrt(log n)]
-
A.
originalOrder
Indicates that the entities are arranged or referenced according to their initial, unaltered sequence or configuration.
-
B.
originallyOrderedBy
Indicates that one entity was the initial source or originator of an order or request for another entity.
-
C.
confersOrder
Indicates that one entity formally bestows or grants an order, rank, or honorific distinction upon another entity.
-
D.
formerOrder
Indicates that one entity previously held a particular order, position, or status in relation to another entity, but no longer does so.
-
E.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2af620819083338127e78137dc |
completed | April 29, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.