Triple
T36467681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchenko–Pastur law |
E898463
|
entity |
| Predicate | supportLowerEndpoint |
P167705
|
FINISHED |
| Object | (1 - sqrt(λ))^2 |
—
|
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: (1 - sqrt(λ))^2 | Statement: [Marchenko–Pastur law, supportLowerEndpoint, (1 - sqrt(λ))^2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportLowerEndpoint Context triple: [Marchenko–Pastur law, supportLowerEndpoint, (1 - sqrt(λ))^2]
-
A.
supportLowerBound
chosen
Indicates that one entity provides or defines a minimum level or lower limit of support for another entity or condition.
-
B.
supportsEP
Indicates that one entity provides assistance, resources, or endorsement to another entity’s emergency preparedness (EP) efforts or program.
-
C.
supportedFrom
Indicates that one entity provides backing, assistance, or justification for another entity, often serving as the source or basis of that support.
-
D.
supportsReach
Indicates that one entity enables, facilitates, or maintains the ability of another entity to extend its influence, access, or coverage to additional targets or areas.
-
E.
supportsSince
Indicates that one entity has been providing support to another entity starting from a specific point in time and continuing thereafter.
- 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_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.