Triple
T6476731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Vine |
E146090
|
entity |
| Predicate | grapeVariety |
P975
|
FINISHED |
| Object |
Black Hamburg
Black Hamburg is a classic dark-skinned table grape variety historically prized in Britain for its rich flavor and use in greenhouse cultivation.
|
E596875
|
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: Black Hamburg | Statement: [Great Vine, grapeVariety, Black Hamburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Hamburg Context triple: [Great Vine, grapeVariety, Black Hamburg]
-
A.
Schwarzhäusern
Schwarzhäusern is a small municipality in the canton of Bern in Switzerland, situated in the Oberaargau region.
-
B.
Bad Godesberg
Bad Godesberg is a district in the city of Bonn, Germany, known for its affluent residential areas, former diplomatic missions, and scenic location along the Rhine River.
-
C.
Free City of Hamburg
The Free City of Hamburg was an autonomous Hanseatic city-state and major port in northern Germany, known for its significant commercial and maritime importance.
-
D.
Berliner
Berliner is a German-origin surname most notably associated with Emile Berliner, the inventor of the gramophone and a pioneer in sound recording technology.
-
E.
Bad Driburg
Bad Driburg is a small spa town in North Rhine-Westphalia, Germany, known for its mineral springs and health resorts.
- 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: Black Hamburg Triple: [Great Vine, grapeVariety, Black Hamburg]
Generated description
Black Hamburg is a classic dark-skinned table grape variety historically prized in Britain for its rich flavor and use in greenhouse cultivation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black Hamburg Target entity description: Black Hamburg is a classic dark-skinned table grape variety historically prized in Britain for its rich flavor and use in greenhouse cultivation.
-
A.
Schwarzhäusern
Schwarzhäusern is a small municipality in the canton of Bern in Switzerland, situated in the Oberaargau region.
-
B.
Bad Godesberg
Bad Godesberg is a district in the city of Bonn, Germany, known for its affluent residential areas, former diplomatic missions, and scenic location along the Rhine River.
-
C.
Free City of Hamburg
The Free City of Hamburg was an autonomous Hanseatic city-state and major port in northern Germany, known for its significant commercial and maritime importance.
-
D.
Berliner
Berliner is a German-origin surname most notably associated with Emile Berliner, the inventor of the gramophone and a pioneer in sound recording technology.
-
E.
Bad Driburg
Bad Driburg is a small spa town in North Rhine-Westphalia, Germany, known for its mineral springs and health resorts.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a4ba9588190a965b9e7feb7e598 |
completed | March 22, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653a7f348819091bca6b582ad230d |
completed | March 27, 2026, 9:53 a.m. |
| NEDg | Description generation | batch_69c6542017f4819085efe545dd25060f |
completed | March 27, 2026, 9:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c656d3533c819091a4255e354eccab |
completed | March 27, 2026, 10:07 a.m. |
Created at: March 22, 2026, 4:51 p.m.