Triple
T2344270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Una Hawthorne |
E45094
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Liverpool, England |
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: Liverpool, England | Statement: [Una Hawthorne, residence, Liverpool, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liverpool, England Context triple: [Una Hawthorne, residence, Liverpool, England]
-
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.
London, England
London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
-
D.
York, England
York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
-
E.
Liverpool2
Liverpool2 is a deep-water container terminal at the Port of Liverpool designed to handle large post-Panamax vessels and increase the port’s cargo capacity.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6afe38c81909deb1de2a1c4eda9 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf2ae2c4819083403236e27d4b5e |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 4, 2026, 7:52 p.m.