Triple
T21041406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beggar Woman |
E518333
|
entity |
| Predicate | associatedWithLocation |
P2830
|
FINISHED |
| Object | Fleet Street |
—
|
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: Fleet Street | Statement: [Beggar Woman, associatedWithLocation, Fleet Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleet Street Context triple: [Beggar Woman, associatedWithLocation, 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.
Livery Street
Livery Street is a street, likely in an urban area, known for its commercial and architectural significance.
-
C.
Guildhall Street
Guildhall Street is a central thoroughfare in Cambridge, England, situated in the historic city centre near the Guildhall and key shopping and civic areas.
-
D.
Caxton Street
Caxton Street is a street in Westminster, central London, known for housing the historic Caxton Hall building.
-
E.
Bermondsey Street
Bermondsey Street is a historic and increasingly fashionable street in the London Borough of Southwark, known for its independent shops, restaurants, galleries, and proximity to attractions like Tower Bridge and London Bridge.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcefe4688190ad1bed1ef2d7a3e5 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:15 p.m.