Triple
T22462809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelin star |
E555271
|
entity |
| Predicate | scaleLevel |
P125404
|
FINISHED |
| Object | one star |
—
|
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: one star | Statement: [Michelin star, scaleLevel, one star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleLevel Context triple: [Michelin star, scaleLevel, one star]
-
A.
scaleDefinition
Indicates that an entity specifies the parameters, structure, or measurement system used to define a particular scale.
-
B.
scalingProperty
Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
-
C.
scaleProperty
Indicates that one entity defines or modifies the scale, magnitude, or proportional sizing used to interpret or represent a property of another entity.
-
D.
magnitudeScale
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
E.
measurementLevel
chosen
Indicates the degree or scale at which something is measured or quantified, such as its level, intensity, or magnitude.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b80983081908084947b2e31c9d4 |
completed | April 29, 2026, 1:14 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.