Triple
T6939237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laplace law of error |
E160629
|
entity |
| Predicate | maximumLikelihoodEstimatorForScale |
P74405
|
FINISHED |
| Object | (1/n) Σ|xi - μ̂| |
—
|
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/n) Σ|xi - μ̂| | Statement: [Laplace law of error, maximumLikelihoodEstimatorForScale, (1/n) Σ|xi - μ̂|]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumLikelihoodEstimatorForScale Context triple: [Laplace law of error, maximumLikelihoodEstimatorForScale, (1/n) Σ|xi - μ̂|]
-
A.
maximumMagnitude
Indicates the greatest absolute value or intensity that a quantity, measurement, or effect can reach within a given context.
-
B.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
C.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
D.
maximumSegmentLength
Indicates the greatest allowable or observed length of a segment within a given context or structure.
-
E.
energyScaleBehavior
Indicates how a quantity or system changes or responds when the overall energy scale of the situation is varied.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6e0c620f0819080e0ec49b36d4c30 |
completed | March 27, 2026, 7:55 p.m. |
Created at: March 27, 2026, 2:28 p.m.