Triple
T17531977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Mall |
E426957
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | County Mall |
—
|
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: County Mall | Statement: [County Mall, name, County Mall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: County Mall Context triple: [County Mall, name, County Mall]
-
A.
County Mall
chosen
County Mall is a major shopping centre in Crawley, West Sussex, featuring a wide range of retail stores, eateries, and services.
-
B.
City Square Mall
City Square Mall is a popular shopping and entertainment complex located in the Rajouri Garden area of West Delhi, India.
-
C.
Hawthorn Mall
Hawthorn Mall is a major shopping and entertainment center located in Vernon Hills, Illinois.
-
D.
Castle Mall
Castle Mall was the former name of Castle Quarter, a shopping centre located in Norwich, England.
-
E.
West Mall Centre
West Mall Centre is a major academic and administrative building located on Simon Fraser University's Burnaby campus in British Columbia, Canada.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e453695734819092d4dcbab4a4fa01 |
completed | April 19, 2026, 4 a.m. |
Created at: April 10, 2026, 5:49 a.m.