Triple
T11776765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloomsbury, London, England |
E280037
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bedford Square |
E249147
|
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: Bedford Square | Statement: [Bloomsbury, London, England, hasPart, Bedford Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bedford Square Context triple: [Bloomsbury, London, England, hasPart, Bedford Square]
-
A.
Bedford Square
chosen
Bedford Square is a well-preserved Georgian garden square in central London, known for its historic architecture and literary and academic associations.
-
B.
Bedford Square
Bedford Square is a central public square in the town of Tavistock in Devon, England, known as a focal point for local civic and community activities.
-
C.
Windsor Square
Windsor Square is a historic, affluent residential neighborhood in central Los Angeles known for its large, early-20th-century homes and tree-lined streets.
-
D.
Tudor Square
Tudor Square is a public square in Sheffield, England, known as the city’s main theatre and cultural quarter.
-
E.
Lechmere Square
Lechmere Square is a major commercial and transit hub in Cambridge, Massachusetts, known for its shopping center and as a key stop on the MBTA Green Line.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a560bf548190afab3ad14f953a71 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090a95a908190a99e579e51cbeb4a |
completed | April 28, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:42 p.m.