Triple
T22462721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelin Guide |
E555269
|
entity |
| Predicate | threeStarDefinition |
P104829
|
FINISHED |
| Object | exceptional cuisine worth a special journey |
—
|
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: exceptional cuisine worth a special journey | Statement: [Michelin Guide, threeStarDefinition, exceptional cuisine worth a special journey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threeStarDefinition Context triple: [Michelin Guide, threeStarDefinition, exceptional cuisine worth a special journey]
-
A.
threeStarsRepresent
Indicates that three stars are used as a symbol or marker to represent or denote something.
-
B.
isThreeStarRank
Indicates that an entity holds or is assigned a three-star rank or rating within a defined ranking system.
-
C.
typicalStar
Indicates that an entity is a representative or characteristic example of stars in general, exhibiting the usual or expected properties of stars.
-
D.
scoreMeaning_3
chosen
Indicates a specific interpretation or significance associated with a particular score or scoring outcome.
-
E.
thirdSingle
Indicates that an entity is the third single (e.g., third single release) associated with another entity, typically in a sequence such as from an album or artist.
- 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.