Triple
T19833649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrocentre |
E476525
|
entity |
| Predicate | hasNickName |
P39
|
FINISHED |
| Object | MetroCentre |
—
|
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: MetroCentre | Statement: [Metrocentre, hasNickName, MetroCentre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MetroCentre Context triple: [Metrocentre, hasNickName, MetroCentre]
-
A.
Metrocentre
chosen
Metrocentre is a large shopping and leisure complex in Gateshead, England, known as one of the biggest shopping centres in the UK.
-
B.
York Centre
York Centre is a federal electoral district in Toronto, Ontario, known for its diverse, largely urban population and long-standing Liberal Party representation.
-
C.
Nova Centre
Nova Centre is a leisure and entertainment complex in Prestatyn, Wales, featuring facilities such as swimming pools, fitness amenities, and family attractions.
-
D.
Midland Square
Midland Square is a prominent skyscraper complex in Nagoya, Japan, known for its offices, luxury shopping, dining, and an observation deck overlooking the city.
-
E.
Queen's Centre
Queen's Centre is a major athletics, recreation, and student life complex at Queen's University in Kingston, Ontario.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656d0347c8190b586c7fe01b61e97 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.