Triple
T20141816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LPY |
E491185
|
entity |
| Predicate | adminArea |
P70755
|
FINISHED |
| Object | City of Liverpool |
—
|
NE NERFINISHED |
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: City of Liverpool | Statement: [LPY, adminArea, City of Liverpool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Liverpool Context triple: [LPY, adminArea, City of Liverpool]
-
A.
City of Manchester
The City of Manchester is a major metropolitan borough in North West England centered on the city of Manchester and encompassing numerous surrounding districts and suburbs.
-
B.
Liverpool
chosen
Liverpool is a major port city in northwest England known for its maritime heritage, cultural influence, and role as the birthplace of The Beatles.
-
C.
Liverpool
Liverpool is a residential neighbourhood within the city of Pickering in Ontario, Canada.
-
D.
Liverpool
Liverpool is a major suburb and commercial centre in the south-west of Sydney, Australia, known as a key residential, retail, and transport hub in the metropolitan area.
-
E.
Liverpool
Liverpool is a major Mexican department store chain known for its wide range of retail goods and presence in large shopping centers across the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679bcf2c8190ac6e969178d8acde |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.