Triple
T24495626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 구포동 |
E617781
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
낙동강
낙동강은 대한민국에서 두 번째로 긴 강으로, 강원도 태백에서 발원해 경상도를 남북으로 관통한 뒤 부산 앞바다로 흘러드는 대표적인 하천이다.
|
E1727816
|
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: 낙동강 | Statement: [구포동, locatedNear, 낙동강]
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: 낙동강 Triple: [구포동, locatedNear, 낙동강]
Generated description
낙동강은 대한민국에서 두 번째로 긴 강으로, 강원도 태백에서 발원해 경상도를 남북으로 관통한 뒤 부산 앞바다로 흘러드는 대표적인 하천이다.
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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a7f9108081908141745d4148192b |
completed | April 30, 2026, 12:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11bae82160819093fff05fb2544a27 |
completed | May 23, 2026, 2:34 p.m. |
| NEDg | Description generation | batch_6a11be5eaa64819093fca394daf91d90 |
completed | May 23, 2026, 2:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11bf1dd27c8190b77577de860ac016 |
completed | May 23, 2026, 2:52 p.m. |
Created at: April 18, 2026, 2:22 a.m.