Triple
T15918641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szekeres–Lindström theorem |
E386034
|
entity |
| Predicate | hasProofTechnique |
P7024
|
FINISHED |
| Object | combinatorial arguments |
—
|
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: combinatorial arguments | Statement: [Szekeres–Lindström theorem, hasProofTechnique, combinatorial arguments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProofTechnique Context triple: [Szekeres–Lindström theorem, hasProofTechnique, combinatorial arguments]
-
A.
hasProofMethod
chosen
Indicates that there exists a specific method or technique used to establish or demonstrate the validity of something (such as a statement, claim, or theorem).
-
B.
hasTechnique
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
C.
hasAlternativeProofMethod
Indicates that there exists a different proof technique or approach that can be used to establish the same result or theorem.
-
D.
hasProofCount
Indicates the number of proofs or supporting evidential items associated with a given entity or claim.
-
E.
usesProofLanguage
Indicates that one entity employs a specific formal or structured language to express or present a proof related to another entity.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.