Triple
T17738765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guigang |
E442794
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object | Gangnan 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: Gangnan District | Statement: [Guigang, administrativeDivision, Gangnan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gangnan District Context triple: [Guigang, administrativeDivision, Gangnan District]
-
A.
Kangbashi District
Kangbashi District is a planned urban district of Ordos in Inner Mongolia, China, known for its rapid development, ambitious architecture, and initial reputation as a "ghost city" due to low early occupancy.
-
B.
Gyeyang District
Gyeyang District is a northern residential and industrial district of Incheon, South Korea, known for its mix of urban neighborhoods, historical sites, and access to natural areas like Gyeyang Mountain.
-
C.
Kang District
Kang District is an administrative district located in Nimruz Province in southwestern Afghanistan.
-
D.
Gwangsan District
Gwangsan District is one of the administrative districts of Gwangju, South Korea, known for its mix of urban development and transportation hubs including Gwangju Songjeong station.
-
E.
Yeonsu District
Yeonsu District is a coastal administrative district in Incheon, South Korea, known for its modern residential areas, educational institutions, and proximity to the Songdo International Business District.
- 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: Gangnan District Target entity description: Gangnan District is an urban administrative district under the jurisdiction of Guigang City in Guangxi, China, known for its role as a local economic and transportation hub.
-
A.
Kangbashi District
Kangbashi District is a planned urban district of Ordos in Inner Mongolia, China, known for its rapid development, ambitious architecture, and initial reputation as a "ghost city" due to low early occupancy.
-
B.
Gyeyang District
Gyeyang District is a northern residential and industrial district of Incheon, South Korea, known for its mix of urban neighborhoods, historical sites, and access to natural areas like Gyeyang Mountain.
-
C.
Kang District
Kang District is an administrative district located in Nimruz Province in southwestern Afghanistan.
-
D.
Gwangsan District
Gwangsan District is one of the administrative districts of Gwangju, South Korea, known for its mix of urban development and transportation hubs including Gwangju Songjeong station.
-
E.
Yeonsu District
Yeonsu District is a coastal administrative district in Incheon, South Korea, known for its modern residential areas, educational institutions, and proximity to the Songdo International Business District.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acb05848190a4b7edb98f15b8c6 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.