Triple
T9951012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clare, Nova Scotia |
E195328
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object |
St. Bernard
St. Bernard is a small rural community in Clare, Nova Scotia, known for its Acadian heritage and historic stone church.
|
E830075
|
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: [Clare, Nova Scotia, hasCommunity, St. Bernard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Bernard Context triple: [Clare, Nova Scotia, hasCommunity, St. Bernard]
-
A.
Saint Bernard
Saint Bernard is a coastal municipality in the province of Southern Leyte in the Philippines, known for its fishing communities and vulnerability to landslides and typhoons.
-
B.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
C.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
D.
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.
-
E.
San Bernardo
San Bernardo is a Madrid Metro station serving the central Chamberí district and providing access to nearby residential and commercial areas.
- 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: [Clare, Nova Scotia, hasCommunity, St. Bernard]
Generated description
St. Bernard is a small rural community in Clare, Nova Scotia, known for its Acadian heritage and historic stone church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St. Bernard Target entity description: St. Bernard is a small rural community in Clare, Nova Scotia, known for its Acadian heritage and historic stone church.
-
A.
Saint Bernard
Saint Bernard is a coastal municipality in the province of Southern Leyte in the Philippines, known for its fishing communities and vulnerability to landslides and typhoons.
-
B.
St Bernard
The St Bernard is a large, gentle Swiss working dog breed historically famed for rescuing travelers in the Alps.
-
C.
San Bernardinian
San Bernardinian refers to a resident or native of San Bernardino, a city in Southern California, United States.
-
D.
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.
-
E.
San Bernardo
San Bernardo is a Madrid Metro station serving the central Chamberí district and providing access to nearby residential and commercial areas.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb65b83ac8190af6bd8c918ffb69f |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22933d26c8190937e4cbdbd8209dc |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d229a1abe08190bf28abfc69ce2d64 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a3b87c08190b486eb221bec3465 |
completed | April 5, 2026, 9:24 a.m. |
Created at: March 30, 2026, 8:45 p.m.