Triple
T11918948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitting subgroup |
E283603
|
entity |
| Predicate | isIntersectionOf |
P102344
|
FINISHED |
| Object | all normal subgroups N of G such that G/N is semisimple |
—
|
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: all normal subgroups N of G such that G/N is semisimple | Statement: [Fitting subgroup, isIntersectionOf, all normal subgroups N of G such that G/N is semisimple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isIntersectionOf Context triple: [Fitting subgroup, isIntersectionOf, all normal subgroups N of G such that G/N is semisimple]
-
A.
isCrossoverOf
Indicates that one entity is a crossover derived from, combining elements of, or intersecting the domains of the referenced entities.
-
B.
fieldIntersection
Indicates that two or more fields or domains share a common overlapping area or set of elements.
-
C.
junctionOf
Indicates that one or more entities meet or intersect at a common point, forming a junction between them.
-
D.
isConnectedComponentOf
Indicates that one entity is a connected component that belongs to or forms part of another, larger structure or graph.
-
E.
servesIntersection
Indicates that one entity provides service or operational coverage to a specific road or transit intersection.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8dff77481908cacf6ad03df34ac |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:44 p.m.