Triple
T21173186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navy of the Republic of Texas |
E521740
|
entity |
| Predicate | notableShip |
P3345
|
FINISHED |
| Object |
San Bernard
San Bernard was a prominent warship that served in the Navy of the Republic of Texas during its struggle for independence and early nationhood.
|
E1470140
|
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 Bernard | Statement: [Navy of the Republic of Texas, notableShip, San Bernard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Bernard Context triple: [Navy of the Republic of Texas, notableShip, San Bernard]
-
A.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
B.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
C.
St. Bernard
St. Bernard is a small rural community in Clare, Nova Scotia, known for its Acadian heritage and historic stone church.
-
D.
Leonberger
Leonberger is a giant, gentle-tempered dog breed from Germany, known for its lion-like appearance and use as a family and working dog.
-
E.
Landseer
Landseer is a surname most famously associated with Sir Edwin Landseer, the 19th-century British painter renowned for his animal paintings and sculptures such as the lions in Trafalgar Square.
- 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 Bernard Triple: [Navy of the Republic of Texas, notableShip, San Bernard]
Generated description
San Bernard was a prominent warship that served in the Navy of the Republic of Texas during its struggle for independence and early nationhood.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Bernard Target entity description: San Bernard was a prominent warship that served in the Navy of the Republic of Texas during its struggle for independence and early nationhood.
-
A.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
B.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
C.
St. Bernard
St. Bernard is a small rural community in Clare, Nova Scotia, known for its Acadian heritage and historic stone church.
-
D.
Leonberger
Leonberger is a giant, gentle-tempered dog breed from Germany, known for its lion-like appearance and use as a family and working dog.
-
E.
Landseer
Landseer is a surname most famously associated with Sir Edwin Landseer, the 19th-century British painter renowned for his animal paintings and sculptures such as the lions in Trafalgar Square.
- 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_69e0b50e30748190b186824a206d39b9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e727141b7c81908eb8ca92850736a4 |
completed | April 21, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09757599708190b03ebb61a54b0c2a |
completed | May 17, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a097664811c81908e9bb1dfcf88b042 |
completed | May 17, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0978130b1481909e7a7c7a43f82c15 |
completed | May 17, 2026, 8:10 a.m. |
Created at: April 16, 2026, 3 p.m.