Triple
T19577601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverside City Hall |
E489898
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | City of Riverside |
—
|
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: City of Riverside | Statement: [Riverside City Hall, operatedBy, City of Riverside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Riverside Context triple: [Riverside City Hall, operatedBy, City of Riverside]
-
A.
Riverside
chosen
Riverside is a major inland city in Southern California known as the birthplace of the California citrus industry and a key center of the Inland Empire region.
-
B.
Riverside
Riverside is a leisure and entertainment district in Norwich, England, featuring shops, restaurants, a cinema, and nightlife venues along the riverside.
-
C.
Riverside
Riverside is a subzone within the Woodlands planning area in northern Singapore, characterized by its proximity to waterfront areas and residential developments.
-
D.
Riverside
Riverside is a residential neighborhood in Cambridge, Massachusetts, located along the Charles River and known for its mix of historic housing and proximity to Harvard University.
-
E.
Riverside
Riverside is a residential suburb of the industrial town of Sasolburg in South Africa’s Free State province.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e64025d5d081909dbb0c079d366006 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.