Triple
T21046984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | orthogonal group O(n) |
E518473
|
entity |
| Predicate | numberOfConnectedComponents |
P142617
|
FINISHED |
| Object | 2 for n ≥ 1 |
—
|
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: 2 for n ≥ 1 | Statement: [orthogonal group O(n), numberOfConnectedComponents, 2 for n ≥ 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfConnectedComponents Context triple: [orthogonal group O(n), numberOfConnectedComponents, 2 for n ≥ 1]
-
A.
numberOfIslands
Indicates the total count of distinct, separate landmasses (islands) present within a given area or context.
-
B.
hasConnectedComponent
Indicates that one entity includes or is associated with a specific connected component as part of its structure or decomposition.
-
C.
isConnectedComponentOf
Indicates that one entity is a connected component that belongs to or forms part of another, larger structure or graph.
-
D.
connectedIsland
Indicates that two islands are linked by a direct or indirect path, such that travel or communication between them is possible within the same connected group.
-
E.
numberOfArtificialIslands
Indicates the quantitative count of artificial islands associated with or contained within a given entity.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf4d26481908b639996500a8319 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:34 p.m.