Triple
T12580736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Giles Circus |
E300327
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Covent Garden |
E81488
|
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: Covent Garden | Statement: [St Giles Circus, near, Covent Garden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Covent Garden Context triple: [St Giles Circus, near, Covent Garden]
-
A.
Covent Garden Market
Covent Garden Market is a historic London marketplace and tourist destination known for its shops, restaurants, street performers, and vibrant cultural atmosphere.
-
B.
Covent Garden (part)
chosen
Covent Garden (part) is a historic and culturally vibrant district in central London known for its market, theatres, street performers, and shopping.
-
C.
Kensington Arcade
Kensington Arcade is a shopping arcade located on Kensington High Street in London, featuring a variety of retail stores and services.
-
D.
Kensington Market
Kensington Market is a vibrant, historically multicultural neighborhood in Toronto known for its eclectic shops, diverse food offerings, and bohemian street culture.
-
E.
Leicester Square
Leicester Square is a famous pedestrianized square in London’s West End, known for its cinemas, theatres, and entertainment venues.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67190a20c8190918b465b67d25869 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:02 p.m.