Triple
T36468888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thurston hyperbolization theorem |
E898489
|
entity |
| Predicate | helpsProve |
P3650
|
FINISHED |
| Object | hyperbolicity of complements of many knots and links |
—
|
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: hyperbolicity of complements of many knots and links | Statement: [Thurston hyperbolization theorem, helpsProve, hyperbolicity of complements of many knots and links]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsProve Context triple: [Thurston hyperbolization theorem, helpsProve, hyperbolicity of complements of many knots and links]
-
A.
provesTo
Indicates that one entity demonstrates or establishes the truth or validity of something to another entity.
-
B.
helpsProsecute
Indicates that one entity assists another entity in carrying out a legal prosecution against a target.
-
C.
provedFrom
Indicates that one statement, theorem, or conclusion is logically derived and demonstrated to be true based on another statement or set of premises.
-
D.
providesEvidenceFor
chosen
Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
-
E.
stanceOnProofs
Indicates the position or attitude an entity holds regarding the use, value, or nature of proofs.
- F. None of above.
Provenance (3 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:10 p.m.