Triple
T12793582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond Professional Institute |
E305831
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Richmond |
E69443
|
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: Richmond | Statement: [Richmond Professional Institute, city, Richmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richmond Context triple: [Richmond Professional Institute, city, Richmond]
-
A.
Richmond
chosen
Richmond is an industrial and residential city in California’s East Bay region, known for its waterfront along San Francisco Bay and its diverse, working-class communities.
-
B.
Richmond
Richmond is a historic market town in North Yorkshire, England, known for its Norman castle, cobbled marketplace, and scenic location on the River Swale.
-
C.
Richmond
Richmond is an Australian federal electoral division in northern New South Wales that includes coastal communities such as Tweed Heads and Byron Bay.
-
D.
Richmond
Richmond is a common English surname of Norman origin, historically associated with various noble families and place names in England.
-
E.
Richmond
Richmond is a city in central Kentucky that serves as the home of Eastern Kentucky University and the seat of Madison County.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6ca0288190aba01735b71a01da |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b9418b08190a61ee4ec4283767c |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:30 p.m.