Triple
T29562846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turán's theorem |
E750082
|
entity |
| Predicate | forbidsSubgraph |
P167026
|
FINISHED |
| Object | complete graph K_r |
—
|
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: complete graph K_r | Statement: [Turán's theorem, forbidsSubgraph, complete graph K_r]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forbidsSubgraph Context triple: [Turán's theorem, forbidsSubgraph, complete graph K_r]
-
A.
isProhibitedFor
Indicates that a certain action, object, or condition is not allowed or is forbidden for a specified entity or group.
-
B.
existenceConditionUndirectedGraph
Indicates that a specified condition holds for the existence of an undirected graph (or a structure modeled as one), typically constraining when such a graph can or must exist.
-
C.
prohibits
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
D.
doesNotAllow
Indicates that one entity prevents, forbids, or does not permit another entity from performing a specific action or being in a certain state.
-
E.
notEverySubsetIs
Indicates that it is not the case that every subset of one set satisfies a specified relation or property with respect to another set.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66d1e64e8819080579603e5bcdeb7 |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6642e676c8190af0e6b1416eed6d2 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 5:21 p.m.