Triple
T6939236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laplace law of error |
E160629
|
entity |
| Predicate | maximumLikelihoodEstimatorForLocation |
P74404
|
FINISHED |
| Object | sample median |
—
|
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: sample median | Statement: [Laplace law of error, maximumLikelihoodEstimatorForLocation, sample median]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumLikelihoodEstimatorForLocation Context triple: [Laplace law of error, maximumLikelihoodEstimatorForLocation, sample median]
-
A.
peakApproximateMa
Indicates that one entity’s peak value is approximately equal to another entity’s peak value.
-
B.
centerOfMassLocation
Indicates the spatial position at which the total mass of an object or system can be considered to be concentrated.
-
C.
approximateMileMarker
Indicates an estimated or not precisely measured position along a route expressed in miles.
-
D.
deltaLocation
Indicates a change or difference between two locations, typically specifying how one location has shifted relative to another.
-
E.
hasAlternativeHypothesisLocation
Indicates that there is another possible location proposed as an alternative to the primary hypothesized location.
- 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.