Triple
T6613488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeira wine |
E149290
|
entity |
| Predicate | hasQualityCategory |
P33477
|
FINISHED |
| Object |
Frasqueira
Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
|
E608452
|
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: Frasqueira | Statement: [Madeira wine, hasQualityCategory, Frasqueira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frasqueira Context triple: [Madeira wine, hasQualityCategory, Frasqueira]
-
A.
Fariña
Fariña is the surname of American folk singer, songwriter, and activist Mimi Fariña, known for her musical work and social advocacy.
-
B.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
C.
Cantarranas
Cantarranas is a small, historic town in central Honduras known for its colorful street murals and traditional cultural festivals.
-
D.
Campanhã
Campanhã is a parish and district in the eastern part of Porto, Portugal, known as a major transport hub and gateway to the city.
-
E.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
- 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: Frasqueira Triple: [Madeira wine, hasQualityCategory, Frasqueira]
Generated description
Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frasqueira Target entity description: Frasqueira is a premium category of Madeira wine denoting long-aged, high-quality vintage bottlings.
-
A.
Fariña
Fariña is the surname of American folk singer, songwriter, and activist Mimi Fariña, known for her musical work and social advocacy.
-
B.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
C.
Cantarranas
Cantarranas is a small, historic town in central Honduras known for its colorful street murals and traditional cultural festivals.
-
D.
Campanhã
Campanhã is a parish and district in the eastern part of Porto, Portugal, known as a major transport hub and gateway to the city.
-
E.
Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6d0a262808190a33ac94374affde4 |
completed | March 27, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee61df88190b3772e4756670b8f |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f09ffdd481909418ae33d1683486 |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f159cbf08190a22d7488584b4580 |
completed | March 27, 2026, 9:06 p.m. |
Created at: March 27, 2026, 1:57 p.m.