Triple
T27940188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judgment of Paris 1976 wine tasting |
E700719
|
entity |
| Predicate | featuredCountry |
P31872
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Judgment of Paris 1976 wine tasting, featuredCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredCountry Context triple: [Judgment of Paris 1976 wine tasting, featuredCountry, United States]
-
A.
featuresCountry
Indicates that something includes, highlights, or prominently involves a particular country.
-
B.
countryFeatured
chosen
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
C.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
D.
countryFA
Indicates that a country is the foreign affiliation or foreign authority associated with another entity.
-
E.
countryIn
Indicates that one entity is geographically or politically located within the boundaries of a specified country.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 27, 2026, 7:17 p.m.