Triple
T3789076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great St Bernard Pass |
E89599
|
entity |
| Predicate | associatedAnimalBreed |
P41121
|
FINISHED |
| Object |
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
|
E389405
|
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: St Bernard | Statement: [Great St Bernard Pass, associatedAnimalBreed, St Bernard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Bernard Context triple: [Great St Bernard Pass, associatedAnimalBreed, St Bernard]
-
A.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
B.
Landseer
Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
-
C.
San Bernardo
San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
-
D.
Bouvier
Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
-
E.
Labrador
Labrador is a vast, sparsely populated region in eastern Canada known for its rugged subarctic landscapes, rich mineral resources, and Indigenous Inuit and Innu communities.
- 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: St Bernard Triple: [Great St Bernard Pass, associatedAnimalBreed, St Bernard]
Generated description
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St Bernard Target entity description: The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
A.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
B.
Landseer
Landseer is the middle name of renowned British architect Sir Edwin Lutyens, best known for his influential country houses and war memorial designs.
-
C.
San Bernardo
San Bernardo is a commune and city in Chile that forms part of the Greater Santiago urban area and serves as an important residential and industrial hub.
-
D.
Bouvier
Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
-
E.
Labrador
Labrador is a vast, sparsely populated region in eastern Canada known for its rugged subarctic landscapes, rich mineral resources, and Indigenous Inuit and Innu communities.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76570b481909c26d47a3251b180 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05031cc8190825105f77dd76438 |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f4f80f4c8190890dae6770d10d4d |
completed | March 14, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f55f53ec8190a5f9cf6d494e75dd |
completed | March 14, 2026, 5:42 a.m. |
Created at: March 9, 2026, 3:14 p.m.