Triple
T22462720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelin Guide |
E555269
|
entity |
| Predicate | twoStarDefinition |
P148299
|
FINISHED |
| Object | excellent cooking worth a detour |
—
|
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: excellent cooking worth a detour | Statement: [Michelin Guide, twoStarDefinition, excellent cooking worth a detour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twoStarDefinition Context triple: [Michelin Guide, twoStarDefinition, excellent cooking worth a detour]
-
A.
secondDefinition
Indicates that one entity serves as an alternative or secondary definition or meaning for another entity.
-
B.
threeStarsRepresent
Indicates that three stars are used as a symbol or marker to represent or denote something.
-
C.
star
Indicates that an entity has been given a special or highlighted status, often marking it as important, featured, or favorited in relation to others.
-
D.
typicalStar
Indicates that an entity is a representative or characteristic example of stars in general, exhibiting the usual or expected properties of stars.
-
E.
secondPartMeaning
Indicates that something represents the latter or subsequent portion of a larger whole in terms of its meaning or semantic content.
- 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_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. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:48 p.m.