Triple
T5607310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nestlé Waters |
E147264
|
entity |
| Predicate | brandPortfolioIncludes |
P18121
|
FINISHED |
| Object |
Hépar
Hépar is a French natural mineral water brand known for its high magnesium content and digestive health benefits.
|
E527910
|
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: Hépar | Statement: [Nestlé Waters, brandPortfolioIncludes, Hépar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hépar Context triple: [Nestlé Waters, brandPortfolioIncludes, Hépar]
-
A.
Lextran
Lextran is the public bus transit system serving Lexington and surrounding areas in Fayette County, Kentucky.
-
B.
Bisontin
Bisontin is the French term for an inhabitant or native of the city of Besançon in eastern France.
-
C.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
D.
Plaxtol
Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
-
E.
Auscitain
An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
- 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: Hépar Triple: [Nestlé Waters, brandPortfolioIncludes, Hépar]
Generated description
Hépar is a French natural mineral water brand known for its high magnesium content and digestive health benefits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hépar Target entity description: Hépar is a French natural mineral water brand known for its high magnesium content and digestive health benefits.
-
A.
Lextran
Lextran is the public bus transit system serving Lexington and surrounding areas in Fayette County, Kentucky.
-
B.
Bisontin
Bisontin is the French term for an inhabitant or native of the city of Besançon in eastern France.
-
C.
Opekta
Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
-
D.
Plaxtol
Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
-
E.
Auscitain
An Auscitain is a resident or native of Auch, a historic town in the Occitanie region of southwestern France.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fd1b2c81908da154f7e11b90d8 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02878aad8819082d2c8f038b79bc7 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c033e0043881908c9fca5138398188 |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c034664c808190b382f7aad0e3149a |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:39 p.m.