Triple
T22462719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelin Guide |
E555269
|
entity |
| Predicate | oneStarDefinition |
P62235
|
FINISHED |
| Object | high quality cooking worth a stop |
—
|
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: high quality cooking worth a stop | Statement: [Michelin Guide, oneStarDefinition, high quality cooking worth a stop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneStarDefinition Context triple: [Michelin Guide, oneStarDefinition, high quality cooking worth a stop]
-
A.
zeroDefinition
Indicates that something has no defined value, quantity, or specification within the given context.
-
B.
degreeOnePart
Indicates that one entity is a component or part of another entity to exactly one degree or level in a part-whole hierarchy.
-
C.
definitionText
chosen
Indicates the textual content that provides the definition or explanatory meaning of a concept, term, or entity.
-
D.
word1
Indicates that there is a first word in a sequence or pair that participates in the specified relationship.
-
E.
whiteStarRepresents
Indicates that a white star symbol is used to stand for, denote, or signify a particular entity, concept, or status.
- 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.