Triple
T25097503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | double exponential distribution |
E628629
|
entity |
| Predicate | hasFisherInformationForLocation |
P167706
|
FINISHED |
| Object | 1/b^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/b^2 | Statement: [double exponential distribution, hasFisherInformationForLocation, 1/b^2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFisherInformationForLocation Context triple: [double exponential distribution, hasFisherInformationForLocation, 1/b^2]
-
A.
hasLogLikelihood
Indicates that a particular outcome, event, or data instance is associated with a specified numerical value representing the logarithm of its probability (log-likelihood) under a given model or distribution.
-
B.
hasLocationFocus
Indicates that the primary emphasis or relevance of something is centered on a specific location or place.
-
C.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
-
D.
hasJacobian
Indicates that one entity is the Jacobian (derivative matrix) associated with another entity, typically describing how that entity changes with respect to its variables.
-
E.
exactLocationKnown
Indicates that the precise geographic or spatial position of an entity is known and specified.
- 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_69e2ff3071548190b62d1ac237397197 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 18, 2026, 6:25 a.m.