Triple
T27133734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Souslin operation |
E681625
|
entity |
| Predicate | usedToDefine |
P773
|
FINISHED |
| Object |
Souslin algebra
A Souslin algebra is a complete Boolean algebra arising from the Souslin operation, typically associated with Souslin trees and used in set theory and descriptive set theory to study regularity and structural properties of sets and orders.
|
E1758395
|
NE 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: Souslin algebra | Statement: [Souslin operation, usedToDefine, Souslin algebra]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Souslin algebra Triple: [Souslin operation, usedToDefine, Souslin algebra]
Generated description
A Souslin algebra is a complete Boolean algebra arising from the Souslin operation, typically associated with Souslin trees and used in set theory and descriptive set theory to study regularity and structural properties of sets and orders.
Provenance (5 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62478fd0c81909b7de1d72aa0e2c0 |
completed | May 2, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1248202b4481908f6e807e76cce810 |
completed | May 24, 2026, 12:36 a.m. |
| NEDg | Description generation | batch_6a1249b3e9888190b3bae29310007be4 |
completed | May 24, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a124a849c3c81908f1b3acdbaed65f8 |
completed | May 24, 2026, 12:47 a.m. |
Created at: April 27, 2026, 9:05 a.m.