Triple
T17020387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Closed Graph Theorem |
E412931
|
entity |
| Predicate | hypothesis |
P125532
|
FINISHED |
| Object | operator is linear |
—
|
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: operator is linear | Statement: [Closed Graph Theorem, hypothesis, operator is linear]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hypothesis Context triple: [Closed Graph Theorem, hypothesis, operator is linear]
-
A.
proposesHypothesis
Indicates that one entity puts forward a tentative explanation or hypothesis for consideration regarding another entity or phenomenon.
-
B.
functionHypothesis
Indicates that an entity is proposed or assumed to serve as a function or functional explanation for another entity or phenomenon.
-
C.
hasNullHypothesis
Indicates that an entity is associated with, or defined in terms of, a specific null hypothesis in a statistical or experimental context.
-
D.
declineHypothesis
Indicates that a previously proposed hypothesis is being rejected or considered no longer valid.
-
E.
thesisOf
Indicates that a particular work is the thesis authored by a specified person or associated with a specified degree or institution.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d482c3a0819099e6ea4acb0a08ee |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:33 a.m.