Triple
T8525615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 북구 |
E201807
|
entity |
| Predicate | usedAsDistrictNameIn |
P50586
|
FINISHED |
| Object | 광주광역시 |
E28778
|
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: 광주광역시 | Statement: [북구, usedAsDistrictNameIn, 광주광역시]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 광주광역시 Context triple: [북구, usedAsDistrictNameIn, 광주광역시]
-
A.
Jeonju
Jeonju is a historic city in southwestern South Korea known for its well-preserved Hanok Village, rich culinary traditions, and cultural heritage.
-
B.
Gwangju
chosen
Gwangju is a major metropolitan city in southwestern South Korea known for its rich cultural heritage and pivotal role in the country’s pro-democracy movement.
-
C.
Mamuju
Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
-
D.
Gwangju, Gyeonggi
Gwangju, Gyeonggi is a city in South Korea known for its blend of suburban residential areas, light industry, and historical sites within the Seoul Capital Area.
-
E.
Chungju
Chungju is a city in North Chungcheong Province, South Korea, known for its agricultural surroundings, historical sites, and the Chungju Dam on the Namhan River.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4578d9c8819096b3853d01c3ec11 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e975d7c8190a7a1fc25c1d67a6f |
completed | April 2, 2026, 11:10 a.m. |
Created at: March 30, 2026, 6:16 p.m.