Triple
T14943313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of London street network |
E372585
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | King William Street |
E356187
|
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: King William Street | Statement: [City of London street network, contains, King William Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King William Street Context triple: [City of London street network, contains, King William Street]
-
A.
King William Street
chosen
King William Street is a major thoroughfare in the City of London that connects key financial and commercial areas near London Bridge.
-
B.
St George’s Street
St George’s Street is a street in Hebden Bridge, West Yorkshire, England, known for housing the town’s historic Town Hall.
-
C.
William Street
William Street is a street in Lower Manhattan’s Financial District known for its proximity to major subway stations and financial institutions.
-
D.
Cumberland Street
Cumberland Street is a downtown Toronto street located near Bay subway station, known for its proximity to the city’s central business and shopping districts.
-
E.
George Street
George Street is a central thoroughfare in Oxford, England, known for its theatres, shops, and restaurants.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfd3ebd08190a2b7c70c2ba6deb3 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 2:38 a.m.