Triple
T11002983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markov random field |
E260046
|
entity |
| Predicate | usesGraphType |
P96954
|
FINISHED |
| Object | undirected graph |
—
|
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: undirected graph | Statement: [Markov random field, usesGraphType, undirected graph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesGraphType Context triple: [Markov random field, usesGraphType, undirected graph]
-
A.
usesDigraph
Indicates that one entity employs or represents information using a directed graph structure, where relationships have a specified direction.
-
B.
graphAnalogue
Indicates that one entity serves as a graph-theoretic counterpart or structural analogue of another entity.
-
C.
graphicsType
Indicates the type or category of graphics associated with or used by an entity.
-
D.
diagramType
Indicates the specific kind or category of diagram associated with an entity or context.
-
E.
typeOfChart
Indicates the specific kind or category of chart used to represent data in a visualization.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d733b27ffc81908ab1b8df198cd5c7 |
completed | April 9, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:25 p.m.