Triple
T3822606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lincoln's Inn Fields |
E88608
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Chancery Lane |
E306904
|
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: Chancery Lane | Statement: [Lincoln's Inn Fields, near, Chancery Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chancery Lane Context triple: [Lincoln's Inn Fields, near, Chancery Lane]
-
A.
Chancery Lane
chosen
Chancery Lane is a historic street in central London traditionally associated with the legal profession and home to many legal institutions and chambers.
-
B.
Farringdon Street
Farringdon Street was the original London terminus of the Metropolitan Railway, playing a key role in the early development of the city's underground rail network.
-
C.
Caxton Street
Caxton Street is a street in Westminster, central London, known for housing the historic Caxton Hall building.
-
D.
Old Street
Old Street is a major road and surrounding area in central London, known as a key hub for technology companies and startups within the city's "Silicon Roundabout" district.
-
E.
Tottenham Court Road
Tottenham Court Road is a major shopping and entertainment street in central London, known for its electronics stores, proximity to the West End, and busy Underground 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea63fe2c8190825f6e9451f6aa50 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f58290881908c7622616a829c75 |
completed | March 20, 2026, 5:09 p.m. |
Created at: March 9, 2026, 3:17 p.m.