Triple
T7710833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upland |
E174745
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Claremont |
E132792
|
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: Claremont | Statement: [Upland, adjacentTo, Claremont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claremont Context triple: [Upland, adjacentTo, Claremont]
-
A.
Claremont
Claremont is a suburb of Hobart in Tasmania, Australia, known for its residential character and proximity to the Derwent River.
-
B.
Claremont
Claremont is a residential neighbourhood within the city of Pickering in Ontario, Canada.
-
C.
Claremont
Claremont is a residential area within the City of Salford in Greater Manchester, England.
-
D.
Claremont, California
chosen
Claremont, California is a suburban city in eastern Los Angeles County known for its consortium of prestigious colleges, tree-lined streets, and vibrant academic community.
-
E.
Claremont Village
Claremont Village is a residential neighborhood in the South Bronx of New York City known for its dense housing developments and proximity to Crotona Park.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ad6b788190892b96ab523d111f |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8accc07f4819089a07726c8313839 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.