Triple
T8525620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 북구 |
E201807
|
entity |
| Predicate | usedAsDistrictNameIn |
P50586
|
FINISHED |
| Object | 전주시 |
E607545
|
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: 전주시 | Statement: [북구, usedAsDistrictNameIn, 전주시]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 전주시 Context triple: [북구, usedAsDistrictNameIn, 전주시]
-
A.
Mamuju
Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
-
B.
진주
진주 is a city in South Gyeongsang Province, South Korea, known for its rich history, cultural heritage, and the annual Jinju Namgang Yudeung (Lantern) Festival.
-
C.
Jeonju
chosen
Jeonju is a historic city in southwestern South Korea known for its well-preserved Hanok Village, rich culinary traditions, and cultural heritage.
-
D.
Yeoju
Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
-
E.
창원시
창원시는 경상남도에 위치한 대한민국의 주요 공업·행정 중심 도시이다.
- 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_69ce6d3fabb08190a3ad63f9153ad44c |
completed | April 2, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:16 p.m.