Triple
T18018121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Fleet |
E431045
|
entity |
| Predicate | flowsUnder |
P45083
|
FINISHED |
| Object | Clerkenwell |
—
|
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: Clerkenwell | Statement: [River Fleet, flowsUnder, Clerkenwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clerkenwell Context triple: [River Fleet, flowsUnder, Clerkenwell]
-
A.
Clerkenwell
chosen
Clerkenwell is a historic district in central London known for its former industrial character, creative industries, and vibrant dining and nightlife scene.
-
B.
Bucklersbury
Bucklersbury is a short historic street in the City of London, located near the Bank of England and long associated with the city’s medieval commercial and civic life.
-
C.
Shoreditch
Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
-
D.
Limehouse
Limehouse is a small rural community within the town of Halton Hills in Ontario, Canada, known for its conservation area, historic lime kilns, and scenic hiking trails along the Niagara Escarpment.
-
E.
Limehouse
Limehouse is a historic riverside district in London’s East End, known for its maritime heritage, former docks, and diverse urban character.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9bf85c08190a40cef4c6d7b566a |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.