Triple
T19445604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longgang District, Shenzhen |
E486466
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Baolong Subdistrict |
—
|
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: Baolong Subdistrict | Statement: [Longgang District, Shenzhen, contains, Baolong Subdistrict]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baolong Subdistrict Context triple: [Longgang District, Shenzhen, contains, Baolong Subdistrict]
-
A.
Lugu Subdistrict
Lugu Subdistrict is an urban administrative division within Changsha, Hunan Province, known for its role in the development of the local high-tech and industrial zones.
-
B.
Kengzi Subdistrict
Kengzi Subdistrict is an administrative subdivision of Longgang District in Shenzhen, Guangdong Province, China, known for its mix of residential communities and industrial development.
-
C.
Xili Subdistrict
Xili Subdistrict is an urban administrative area in Nanshan District of Shenzhen, China, known for its residential communities, educational institutions, and proximity to major technology and industrial zones.
-
D.
Nanwan Subdistrict
Nanwan Subdistrict is an urban administrative division within Longgang District of Shenzhen, Guangdong Province, China.
-
E.
Dahua Subdistrict
Dahua Subdistrict is an urban administrative division located within Baoshan District in Shanghai, China.
- 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: Baolong Subdistrict Target entity description: Baolong Subdistrict is an urban administrative area within Shenzhen, China, known for its role in the high-tech and industrial development of Longgang District.
-
A.
Lugu Subdistrict
Lugu Subdistrict is an urban administrative division within Changsha, Hunan Province, known for its role in the development of the local high-tech and industrial zones.
-
B.
Kengzi Subdistrict
Kengzi Subdistrict is an administrative subdivision of Longgang District in Shenzhen, Guangdong Province, China, known for its mix of residential communities and industrial development.
-
C.
Xili Subdistrict
Xili Subdistrict is an urban administrative area in Nanshan District of Shenzhen, China, known for its residential communities, educational institutions, and proximity to major technology and industrial zones.
-
D.
Nanwan Subdistrict
Nanwan Subdistrict is an urban administrative division within Longgang District of Shenzhen, Guangdong Province, China.
-
E.
Dahua Subdistrict
Dahua Subdistrict is an urban administrative division located within Baoshan District in Shanghai, China.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338921cc819083f8f918225d78e6 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.