Triple
T4135341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Coffee |
E85138
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object |
Caffè Nero
Caffè Nero is a European-style coffeehouse chain known for its Italian-inspired espresso drinks and relaxed café atmosphere.
|
E414388
|
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: Caffè Nero | Statement: [Costa Coffee, competitor, Caffè Nero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caffè Nero Context triple: [Costa Coffee, competitor, Caffè Nero]
-
A.
Costa Coffee
Costa Coffee is a major British coffeehouse chain known for its espresso-based drinks and café-style food, operating thousands of outlets worldwide.
-
B.
Caffè Biffi
Caffè Biffi is a historic and elegant Milanese café renowned for its traditional Italian pastries and coffee, located within the iconic Galleria Vittorio Emanuele II.
-
C.
Federico Caffè
Federico Caffè was an influential Italian economist and academic known for his work on welfare economics, Keynesian theory, and social justice in economic policy.
-
D.
McCafé
McCafé is McDonald's in-house coffeehouse-style chain offering specialty coffee drinks, pastries, and café-style food items.
-
E.
Ronto Roasters
Ronto Roasters is a quick-service food stand in the Star Wars: Galaxy’s Edge themed land, known for its grilled wraps and immersive, market-style theming.
- 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: Caffè Nero Triple: [Costa Coffee, competitor, Caffè Nero]
Generated description
Caffè Nero is a European-style coffeehouse chain known for its Italian-inspired espresso drinks and relaxed café atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caffè Nero Target entity description: Caffè Nero is a European-style coffeehouse chain known for its Italian-inspired espresso drinks and relaxed café atmosphere.
-
A.
Costa Coffee
Costa Coffee is a major British coffeehouse chain known for its espresso-based drinks and café-style food, operating thousands of outlets worldwide.
-
B.
Caffè Biffi
Caffè Biffi is a historic and elegant Milanese café renowned for its traditional Italian pastries and coffee, located within the iconic Galleria Vittorio Emanuele II.
-
C.
Federico Caffè
Federico Caffè was an influential Italian economist and academic known for his work on welfare economics, Keynesian theory, and social justice in economic policy.
-
D.
McCafé
McCafé is McDonald's in-house coffeehouse-style chain offering specialty coffee drinks, pastries, and café-style food items.
-
E.
Ronto Roasters
Ronto Roasters is a quick-service food stand in the Star Wars: Galaxy’s Edge themed land, known for its grilled wraps and immersive, market-style theming.
- 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0233009881909333375d597b58b6 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576c75e5c8190acc4ee72cb574432 |
completed | March 14, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69b57799f22481908cfda7e620a77187 |
completed | March 14, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b578003dd48190b9264fd834cffbdf |
completed | March 14, 2026, 3 p.m. |
Created at: March 9, 2026, 3:43 p.m.