Triple
T16889411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Academy Schools |
E421626
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Piccadilly |
E10445
|
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: Piccadilly | Statement: [Royal Academy Schools, locatedIn, Piccadilly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piccadilly Context triple: [Royal Academy Schools, locatedIn, Piccadilly]
-
A.
Piccadilly
chosen
Piccadilly is a major street in central London known for its historic buildings, prestigious institutions, and proximity to landmarks such as Piccadilly Circus and Green Park.
-
B.
Piccadilly
Piccadilly is a small locality in the Adelaide Hills region of South Australia, known for its cool-climate vineyards, orchards, and scenic rural landscapes.
-
C.
Piccadilly
Piccadilly is a central district in Manchester, England, known for its major transport links, public square, and commercial activity.
-
D.
Cannon Street
Cannon Street is a major road in the City of London known for its financial district location, railway station, and proximity to landmarks such as St Paul’s Cathedral and the River Thames.
-
E.
Aldwych
Aldwych is a central London area known for its crescent-shaped street, theatres, and proximity to major institutions like the London School of Economics and the Strand.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc3b5188190ac713b4d4166e961 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d45647f481908ae76a0b8fe8a9cb |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:29 a.m.