Triple
T34471752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nisnevich topology |
E884926
|
entity |
| Predicate | coarserThan |
P74057
|
FINISHED |
| Object | étale topology |
—
|
NE NERFINISHED |
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: étale topology | Statement: [Nisnevich topology, coarserThan, étale topology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coarserThan Context triple: [Nisnevich topology, coarserThan, étale topology]
-
A.
isCoarserThan
chosen
Indicates that one entity has a lower level of detail or granularity than another, representing a broader or less refined characterization or partition.
-
B.
isVeryCoarseComparedTo
Indicates that one entity has a much rougher or less fine texture, structure, or granularity than another entity.
-
C.
largerThan
Indicates that one entity has a greater size, extent, or magnitude than another entity.
-
D.
weakerThan
Indicates that one entity has less strength, power, or effectiveness than another entity.
-
E.
isSuperiorOf
Indicates that one entity holds a higher rank, authority, or hierarchical position over another entity.
- 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_69f349c880408190ade571c471ab154a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7199e9d3881908e9427bfd02d31be |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2:01 a.m.