Triple
T3316973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackfriars |
E69704
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object | Fleet Street |
E96647
|
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: Fleet Street | Statement: [Blackfriars, hasNearbyLandmark, Fleet Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleet Street Context triple: [Blackfriars, hasNearbyLandmark, Fleet Street]
-
A.
Fleet Street
chosen
Fleet Street is a historic thoroughfare in central London long associated with the British press and newspaper industry.
-
B.
Caxton Street
Caxton Street is a street in Westminster, central London, known for housing the historic Caxton Hall building.
-
C.
South Street, London
South Street, London is an affluent residential street in the Mayfair district historically associated with prominent figures of British high society and politics.
-
D.
Chancery Lane
Chancery Lane is a historic street in central London traditionally associated with the legal profession and home to many legal institutions and chambers.
-
E.
London Bridge Street
London Bridge Street is a central London road in the London Bridge area, known for hosting major landmarks and transport links, including The Shard and London Bridge station.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb11230b881908f5b554323729cc5 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3fd5440819092f6847e56c05ff8 |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.