Triple
T30836357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hwasun County |
E785374
|
entity |
| Predicate | KoreanName |
P17869
|
FINISHED |
| Object |
화순군
화순군은 전라남도 중부에 위치한 농업과 온천, 역사 유적지로 알려진 대한민국의 군 지역이다.
|
E1934371
|
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: 화순군 | Statement: [Hwasun County, KoreanName, 화순군]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 화순군 Triple: [Hwasun County, KoreanName, 화순군]
Generated description
화순군은 전라남도 중부에 위치한 농업과 온천, 역사 유적지로 알려진 대한민국의 군 지역이다.
Provenance (5 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_69f224b73d8c81908129383bfb397c87 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6913f9c4c8190b5984101070d067c |
completed | May 3, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a28bbf1264c8190865ebc07ad6af767 |
completed | June 10, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a28bfdbfe988190b9ca4cac27d2ac36 |
completed | June 10, 2026, 1:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a28c06caab88190b395799d9c373569 |
completed | June 10, 2026, 1:39 a.m. |
Created at: April 29, 2026, 8:45 p.m.