Triple
T8035454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tianhe District |
E187094
|
entity |
| Predicate | hasShoppingArea |
P4285
|
FINISHED |
| Object |
Tee Mall
Tee Mall is a major commercial shopping center in Guangzhou, China, known for its large-scale retail, dining, and entertainment offerings.
|
E708873
|
NE FINISHED |
How this triple was built (4 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: Tee Mall | Statement: [Tianhe District, hasShoppingArea, Tee Mall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tee Mall Context triple: [Tianhe District, hasShoppingArea, Tee Mall]
-
A.
Queens Place Mall
Queens Place Mall is a multi-level shopping center in Elmhurst, Queens, featuring a variety of retail stores, dining options, and services.
-
B.
County Mall
County Mall is a major shopping centre in Crawley, West Sussex, featuring a wide range of retail stores, eateries, and services.
-
C.
Westland Shopping Center
Westland Shopping Center is a major retail mall in Westland, Michigan, that became prominent enough for the surrounding city to adopt its name.
-
D.
City Square Mall
City Square Mall is a popular shopping and entertainment complex located in the Rajouri Garden area of West Delhi, India.
-
E.
Agincourt Mall
Agincourt Mall is a community shopping centre located in the Agincourt neighbourhood of Scarborough, Toronto, featuring a variety of retail stores and services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tee Mall Triple: [Tianhe District, hasShoppingArea, Tee Mall]
Generated description
Tee Mall is a major commercial shopping center in Guangzhou, China, known for its large-scale retail, dining, and entertainment offerings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tee Mall Target entity description: Tee Mall is a major commercial shopping center in Guangzhou, China, known for its large-scale retail, dining, and entertainment offerings.
-
A.
Queens Place Mall
Queens Place Mall is a multi-level shopping center in Elmhurst, Queens, featuring a variety of retail stores, dining options, and services.
-
B.
County Mall
County Mall is a major shopping centre in Crawley, West Sussex, featuring a wide range of retail stores, eateries, and services.
-
C.
Westland Shopping Center
Westland Shopping Center is a major retail mall in Westland, Michigan, that became prominent enough for the surrounding city to adopt its name.
-
D.
City Square Mall
City Square Mall is a popular shopping and entertainment complex located in the Rajouri Garden area of West Delhi, India.
-
E.
Agincourt Mall
Agincourt Mall is a community shopping centre located in the Agincourt neighbourhood of Scarborough, Toronto, featuring a variety of retail stores and services.
- F. None of above. chosen
Provenance (5 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef68c6081908727d17238b3522a |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56f493908190b68e791cdbe725fa |
completed | March 31, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69cc5ca6efbc819082f4c643446da354 |
completed | March 31, 2026, 11:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5d6d93f08190b17d6c7a4fad2cf0 |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 5:22 p.m.