Triple
T312632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Jules Verne |
E7639
|
entity |
| Predicate | hasMichelinStar |
P11848
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Le Jules Verne, hasMichelinStar, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMichelinStar Context triple: [Le Jules Verne, hasMichelinStar, yes]
-
A.
hasChampagneBar
Indicates that an entity includes, features, or is equipped with a champagne bar.
-
B.
hasRestaurant
Indicates that one entity possesses, operates, or contains a restaurant associated with it.
-
C.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
-
D.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
E.
diningStyle
Indicates the manner or format in which dining is conducted, such as casual, formal, buffet, or family-style.
- 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_69a2e7e7af7881908890039d6be4e9b8 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ea4aa16881909b2c8404b85992df |
completed | Feb. 28, 2026, 1:14 p.m. |
| PD | Predicate disambiguation | batch_69a2e940b9e8819092b821ff17ed026b |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:07 p.m.