Triple
T22423284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős distinct distances problem |
E554301
|
entity |
| Predicate | statusBefore2010s |
P148129
|
FINISHED |
| Object | major open problem in combinatorial geometry |
—
|
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: major open problem in combinatorial geometry | Statement: [Erdős distinct distances problem, statusBefore2010s, major open problem in combinatorial geometry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusBefore2010s Context triple: [Erdős distinct distances problem, statusBefore2010s, major open problem in combinatorial geometry]
-
A.
statusAfter2010
Indicates the condition or state of an entity specifically in the period after the year 2010.
-
B.
statusBefore1990s
Indicates the condition or state that an entity had prior to the 1990s.
-
C.
statusBefore2022
Indicates that an entity’s status or condition is defined as it existed prior to the year 2022.
-
D.
statusBefore2016
Indicates the status or condition that an entity had prior to the year 2016.
-
E.
statusAfter1970
Indicates the status or condition of an entity as it exists after the year 1970.
- 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.