Triple
T19062293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shenzhen urban core |
E466562
|
entity |
| Predicate | containsArea |
P11790
|
FINISHED |
| Object | Luohu commercial district |
—
|
NE NERFINISHED |
How this triple was built (3 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: Luohu commercial district | Statement: [Shenzhen urban core, containsArea, Luohu commercial district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luohu commercial district Context triple: [Shenzhen urban core, containsArea, Luohu commercial district]
-
A.
Dongzhimen commercial area
Dongzhimen commercial area is a major shopping and business district in Beijing known for its retail centers, restaurants, and transport connectivity.
-
B.
Chunxi Road commercial district
Chunxi Road commercial district is a major shopping and entertainment hub in downtown Chengdu, known for its dense concentration of retail stores, restaurants, and vibrant pedestrian streets.
-
C.
Fuxingmen commercial area
Fuxingmen commercial area is a major business and shopping district in Beijing known for its office buildings, retail centers, and convenient transport links.
-
D.
Zhongping Road commercial district
Zhongping Road commercial district is a bustling shopping and dining area in Zhongli District, Taoyuan, known for its dense concentration of retail stores, eateries, and local street life.
-
E.
Hongqiao Business District
Hongqiao Business District is a major commercial and transportation hub in western Shanghai, integrating offices, retail, hotels, and convention facilities around the city’s Hongqiao transport hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luohu commercial district Target entity description: Luohu commercial district is a major shopping and business hub in Shenzhen, known for its bustling malls, markets, and proximity to the Hong Kong border.
-
A.
Dongzhimen commercial area
Dongzhimen commercial area is a major shopping and business district in Beijing known for its retail centers, restaurants, and transport connectivity.
-
B.
Chunxi Road commercial district
Chunxi Road commercial district is a major shopping and entertainment hub in downtown Chengdu, known for its dense concentration of retail stores, restaurants, and vibrant pedestrian streets.
-
C.
Fuxingmen commercial area
Fuxingmen commercial area is a major business and shopping district in Beijing known for its office buildings, retail centers, and convenient transport links.
-
D.
Zhongping Road commercial district
Zhongping Road commercial district is a bustling shopping and dining area in Zhongli District, Taoyuan, known for its dense concentration of retail stores, eateries, and local street life.
-
E.
Hongqiao Business District
Hongqiao Business District is a major commercial and transportation hub in western Shanghai, integrating offices, retail, hotels, and convention facilities around the city’s Hongqiao transport hub.
- F. None of above. chosen
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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e195ac048190a57b57e585d022d4 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 10, 2026, 12:03 p.m.