Triple
T27133624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borel set |
E681623
|
entity |
| Predicate | generatedFrom |
P909
|
FINISHED |
| Object | open sets of a topological space |
—
|
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: open sets of a topological space | Statement: [Borel set, generatedFrom, open sets of a topological space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generatedFrom Context triple: [Borel set, generatedFrom, open sets of a topological space]
-
A.
builtFrom
Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
-
B.
partOfGeneration
Indicates that one entity is a component, member, or subset of a particular generation or generational group associated with another entity.
-
C.
isProducedFrom
Indicates that something is created, generated, or derived from a specified source or input.
-
D.
generationOf
Indicates that one entity is the origin, creator, or producer of another entity.
-
E.
derivedFrom
chosen
Indicates that one entity originates, is obtained, or is developed from another source 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62478fd0c81909b7de1d72aa0e2c0 |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:05 a.m.