Triple
T19321343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scripps College |
E483230
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Claremont |
—
|
NE NERFINISHED |
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: Claremont | Statement: [Scripps College, city, Claremont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claremont Context triple: [Scripps College, city, Claremont]
-
A.
Claremont
Claremont is a residential neighbourhood within the city of Pickering in Ontario, Canada.
-
B.
Claremont
Claremont is a historic country house and estate in Surrey, England, known for its landscaped gardens and royal connections.
-
C.
Claremont
chosen
Claremont is a small, affluent college town in eastern Los Angeles County, California, known for its consortium of higher education institutions collectively called the Claremont Colleges.
-
D.
Claremont
Claremont is a residential neighborhood in the Bronx, New York City, known for its dense urban character and proximity to major subway lines.
-
E.
Claremont
Claremont is a suburb of Hobart in Tasmania, Australia, known for its residential character and proximity to the Derwent River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d88951081909f7ce6e0610c7258 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.