Triple
T3794210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coal Hill Academy |
E89728
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Shoreditch |
E265742
|
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: Shoreditch | Statement: [Coal Hill Academy, locatedIn, Shoreditch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoreditch Context triple: [Coal Hill Academy, locatedIn, Shoreditch]
-
A.
Shoreditch
chosen
Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
-
B.
Barnsbury
Barnsbury is a largely residential district in the London Borough of Islington, known for its Georgian and Victorian terraces and close proximity to central London.
-
C.
Stepney
Stepney is a historic district in the East End of London, England, known for its working-class roots and diverse immigrant communities.
-
D.
Clerkenwell
Clerkenwell is a historic district in central London known for its former industrial character, creative industries, and vibrant dining and nightlife scene.
-
E.
Muswell Hill
Muswell Hill is a leafy, affluent suburban district in North London known for its Edwardian architecture, village-like high street, and panoramic views over the city.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76b809c81908312f308fbe85bf4 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd568effac81908bc52b5240e47c8c |
completed | March 20, 2026, 2:15 p.m. |
Created at: March 9, 2026, 3:15 p.m.