Triple
T11904485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenbelt Mall |
E283239
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Greenbelt Mall |
E283239
|
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: Greenbelt Mall | Statement: [Greenbelt Mall, name, Greenbelt Mall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenbelt Mall Context triple: [Greenbelt Mall, name, Greenbelt Mall]
-
A.
Greenbelt Mall
chosen
Greenbelt Mall is a local shopping center in Greenbelt, Maryland, offering a variety of retail stores and services to the surrounding community.
-
B.
Westland Mall
Westland Mall is a regional shopping center located in Hialeah, Florida, featuring a variety of retail stores, dining options, and services.
-
C.
Westgate Mall
Westgate Mall is a major shopping and entertainment complex located on Nanjing West Road in Shanghai, known for its mix of international brands, dining, and leisure facilities.
-
D.
Northshore Mall
Northshore Mall is a large regional shopping center located in Peabody, Massachusetts, featuring a wide variety of retail stores, dining options, and services.
-
E.
Clearwater Mall
Clearwater Mall is a large regional shopping centre in Roodepoort, South Africa, featuring a wide range of retail stores, dining options, and entertainment facilities.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e525460c81909d855048d9c799bf |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f63ac68c819090a0361a16e8452d |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 8, 2026, 9:44 p.m.