Triple
T9097053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radcliffe Square |
E218051
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Catte Street |
E251969
|
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: Catte Street | Statement: [Radcliffe Square, adjacentTo, Catte Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catte Street Context triple: [Radcliffe Square, adjacentTo, Catte Street]
-
A.
Catte Street
chosen
Catte Street is a historic street in central Oxford, England, known for its proximity to major university buildings and landmarks.
-
B.
Hanover Street
Hanover Street is a historic and bustling main thoroughfare in Boston’s North End, known for its Italian restaurants, cafes, and neighborhood shops.
-
C.
Bird Street
Bird Street is a central street in Lichfield, Staffordshire, known for its mix of shops, restaurants, and proximity to the city’s historic cathedral area.
-
D.
Bedwin Street
Bedwin Street is a central thoroughfare in the historic cathedral city of Salisbury, England, lined with a mix of shops, services, and local businesses.
-
E.
Charlotte Street
Charlotte Street is a street in Manchester, England, notable for being part of the city's Chinatown district.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b7d0d48190a3b15f35bef087e3 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03014ea488190abc71a0ee182bcad |
completed | April 3, 2026, 9:24 p.m. |
Created at: March 30, 2026, 7:15 p.m.