Triple
T13972775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Centre:MK |
E336105
|
entity |
| Predicate | hasTenant |
P3277
|
FINISHED |
| Object | Marks & Spencer |
E137848
|
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: Marks & Spencer | Statement: [The Centre:MK, hasTenant, Marks & Spencer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marks & Spencer Context triple: [The Centre:MK, hasTenant, Marks & Spencer]
-
A.
Marks & Spencer
chosen
Marks & Spencer is a major British multinational retailer known for its clothing, home goods, and food products.
-
B.
M&S
M&S is the commonly used abbreviation for McClelland and Stewart, a prominent Canadian publishing company known for its influential literary catalog.
-
C.
Sainsbury
Sainsbury is a prominent British family name most closely associated with the founders and owners of the J Sainsbury supermarket chain and notable figures in business and public life.
-
D.
John Lewis & Partners
John Lewis & Partners is a major British department store chain known for its wide range of quality goods and customer service, operating as part of the employee-owned John Lewis Partnership.
-
E.
Tesco
Tesco is a major British multinational grocery and general merchandise retailer and one of the largest supermarket chains in the world.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8eae40819080dd4bd25c73b6d6 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1df334c8190a3d65198cc3d11f6 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.