Triple
T23518835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intu |
E574444
|
entity |
| Predicate | owned |
P347
|
FINISHED |
| Object | intu Trafford Centre |
—
|
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: intu Trafford Centre | Statement: [Intu, owned, intu Trafford Centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: intu Trafford Centre Context triple: [Intu, owned, intu Trafford Centre]
-
A.
intu Victoria Centre
intu Victoria Centre is a major shopping and leisure mall located in Nottingham, England, formerly owned and operated by Intu Properties.
-
B.
Elizabeth Shopping Centre
Elizabeth Shopping Centre is a major regional retail and commercial complex located in the northern suburbs of Adelaide, South Australia.
-
C.
Eastgate Shopping Centre
Eastgate Shopping Centre is a major retail complex in Basildon, Essex, featuring a wide range of high-street shops, eateries, and services.
-
D.
Eastgate Shopping Centre
Eastgate Shopping Centre is a large, well-known retail and entertainment mall located in the Bedfordview area of Johannesburg, South Africa.
-
E.
Trafford Centre
chosen
The Trafford Centre is a large indoor shopping and leisure complex in Greater Manchester, England, known for its extensive range of retail stores, restaurants, and entertainment facilities.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa84fe7c8190aa1078a118af7d61 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.