Triple
T8030213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Bernardinian |
E186957
|
entity |
| Predicate | hasForm |
P169
|
FINISHED |
| Object | San Bernardinian (singular) |
E186957
|
NE FINISHED |
How this triple was built (2 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 Bernardinian (singular) | Statement: [San Bernardinian, hasForm, San Bernardinian (singular)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Bernardinian (singular) Context triple: [San Bernardinian, hasForm, San Bernardinian (singular)]
-
A.
San Bernardinian
chosen
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.
Bernie the Saint Bernard
Bernie the Saint Bernard is the costumed canine mascot who represents Siena College at its athletic events and campus activities.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ecf0f2c819091899211003c461e |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56e146048190a97b3b37d1eec0b8 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.