Triple
T2496654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Rupert's Tower |
E52165
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object | City of Liverpool |
E15386
|
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: City of Liverpool | Statement: [Prince Rupert's Tower, municipality, City of Liverpool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Liverpool Context triple: [Prince Rupert's Tower, municipality, City of Liverpool]
-
A.
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.
-
B.
Liverpool
Liverpool is a residential neighbourhood within the city of Pickering in Ontario, Canada.
-
C.
Birkenhead
Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
-
D.
Newcastle
Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
-
E.
Newcastle
Newcastle is a major industrial and commercial city in South Africa’s KwaZulu-Natal province, known for its manufacturing, coal mining, and regional service economy.
- 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1abd3688190b5874249e1e333bc |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f98a1a48190bc9eeb25868a2f9b |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:45 p.m.