Triple
T5756885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toynbee Hall |
E126988
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Spitalfields |
E500664
|
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: Spitalfields | Statement: [Toynbee Hall, hasNeighbourhood, Spitalfields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spitalfields Context triple: [Toynbee Hall, hasNeighbourhood, Spitalfields]
-
A.
Spitalfields
chosen
Spitalfields is a historic district in East London known for its vibrant market, diverse communities, and rich cultural and architectural heritage.
-
B.
Shoreditch
Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
-
C.
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.
-
D.
Limehouse
Limehouse is a historic riverside district in London’s East End, known for its maritime heritage, former docks, and diverse urban character.
-
E.
Stepney
Stepney is a historic district in the East End of London, England, known for its working-class roots and diverse immigrant communities.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029084e108190988f1b5f38254007 |
completed | March 22, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a16b9eac8190a3760557e2aebb45 |
completed | March 23, 2026, 2:11 a.m. |
Created at: March 22, 2026, 3:49 p.m.