Triple
T36467713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchenko–Pastur law |
E898463
|
entity |
| Predicate | hasAtomAtZero |
P185533
|
FINISHED |
| Object | yes when λ < 1 |
—
|
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: yes when λ < 1 | Statement: [Marchenko–Pastur law, hasAtomAtZero, yes when λ < 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAtomAtZero Context triple: [Marchenko–Pastur law, hasAtomAtZero, yes when λ < 1]
-
A.
hasZeroPosition
Indicates that an entity occupies or is assigned to the reference (zero) position within a defined coordinate system or ordered structure.
-
B.
hasAtomicNumber
Indicates that one entity is the chemical element whose atomic number (number of protons in its nucleus) is given by the other entity.
-
C.
hasZeroStructure
Indicates that an entity lacks any internal components, subparts, or structural organization.
-
D.
haveZeros
Indicates that the related entity or value contains one or more zero elements (such as digits, entries, or components).
-
E.
isZeroFor
Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.