Triple
T15923153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evian |
E386140
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object |
San Pellegrino
San Pellegrino is an Italian brand best known for its naturally carbonated mineral water and flavored sparkling beverages.
|
E1185550
|
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: San Pellegrino | Statement: [Evian, competitor, San Pellegrino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Pellegrino Context triple: [Evian, competitor, San Pellegrino]
-
A.
Perrier
Perrier is a French brand of naturally carbonated mineral water known for its distinctive green bottles and strong sparkling taste.
-
B.
Vittel
Vittel is a French spa town renowned for its mineral water springs and bottled water brand, located in northeastern France.
-
C.
Volvic
Volvic is a French town in the Auvergne region best known worldwide for its natural mineral water sourced from volcanic springs.
-
D.
Aquafina
Aquafina is a popular brand of purified bottled drinking water owned and marketed by PepsiCo.
-
E.
Nestlé Waters
Nestlé Waters is the bottled water division of Nestlé, responsible for producing and marketing a wide portfolio of still and sparkling water brands worldwide.
- 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: San Pellegrino Triple: [Evian, competitor, San Pellegrino]
Generated description
San Pellegrino is an Italian brand best known for its naturally carbonated mineral water and flavored sparkling beverages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Pellegrino Target entity description: San Pellegrino is an Italian brand best known for its naturally carbonated mineral water and flavored sparkling beverages.
-
A.
Perrier
Perrier is a French brand of naturally carbonated mineral water known for its distinctive green bottles and strong sparkling taste.
-
B.
Vittel
Vittel is a French spa town renowned for its mineral water springs and bottled water brand, located in northeastern France.
-
C.
Volvic
Volvic is a French town in the Auvergne region best known worldwide for its natural mineral water sourced from volcanic springs.
-
D.
Aquafina
Aquafina is a popular brand of purified bottled drinking water owned and marketed by PepsiCo.
-
E.
Nestlé Waters
Nestlé Waters is the bottled water division of Nestlé, responsible for producing and marketing a wide portfolio of still and sparkling water brands worldwide.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156832a248190bed479bf835a469c |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe7055a48190b0f426f3e3c22f9d |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf278a408190b50ba4b311fa8dd2 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbf8312dc8190ab06736040459ab1 |
completed | May 9, 2026, 11:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.