Triple
T2853820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester Athenaeum |
E63152
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Princess Street |
E220962
|
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: Princess Street | Statement: [Manchester Athenaeum, locatedOn, Princess Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Princess Street Context triple: [Manchester Athenaeum, locatedOn, Princess Street]
-
A.
Princess Street
chosen
Princess Street is a central thoroughfare in Manchester, England, known for running through key districts including the city's Chinatown.
-
B.
Gordon Street
Gordon Street is a central thoroughfare in Glasgow, Scotland, known for its proximity to major transport links, shops, and city landmarks.
-
C.
Argyll Street
Argyll Street is a central London street in the West End, known for its proximity to Oxford Circus and its mix of retail, commercial, and historic buildings.
-
D.
Bishop Street
Bishop Street is a major commercial thoroughfare in Honolulu, Hawaii, known as a financial and business hub lined with office towers and corporate headquarters.
-
E.
Argyle Street
Argyle Street is one of Glasgow’s main shopping and thoroughfare streets, running through the city centre and known for its retail outlets and busy pedestrian traffic.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5f21348190a574fa86bc71c76f |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38ba5bc088190bd656c2959cdfb6a |
completed | March 13, 2026, 3:59 a.m. |
Created at: March 6, 2026, 10:02 p.m.