Triple
T2142194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaujolais |
E46782
|
entity |
| Predicate | hasSubregion |
P285
|
FINISHED |
| Object |
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
|
E236659
|
NE FINISHED |
How this triple was built (4 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: Morgon | Statement: [Beaujolais, hasSubregion, Morgon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morgon Context triple: [Beaujolais, hasSubregion, Morgon]
-
A.
Ryti
Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
-
B.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
-
C.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
-
D.
Morrow
Morrow is a surname of English origin borne by various notable individuals across politics, arts, and academia.
-
E.
Morrow
"Morrow" is a 2018 introspective, genre-blending single by American artist 070 Shake, known for its emotional lyrics and atmospheric production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Morgon Triple: [Beaujolais, hasSubregion, Morgon]
Generated description
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Morgon Target entity description: Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
-
A.
Ryti
Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
-
B.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
-
C.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
-
D.
Morrow
Morrow is a surname of English origin borne by various notable individuals across politics, arts, and academia.
-
E.
Morrow
"Morrow" is a 2018 introspective, genre-blending single by American artist 070 Shake, known for its emotional lyrics and atmospheric production.
- F. None of above. chosen
Provenance (5 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_69a88a174ab48190a5db20c132e5dccf |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbe0543108190862dd9a4a861c758 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae51b63e4081908a5d87af5d17d3c4 |
completed | March 9, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_69ae52d29d708190809ee4d5047b2755 |
completed | March 9, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae532ec8808190b1ecd8c4f66df30d |
completed | March 9, 2026, 4:57 a.m. |
Created at: March 4, 2026, 7:44 p.m.