Triple
T5584729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunzha River |
E146725
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Sunzha (town)
Sunzha is a small town in the Republic of Ingushetia in southwestern Russia, situated in the North Caucasus region.
|
E533898
|
NE FINISHED |
How this triple was built (4 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: Sunzha (town) | Statement: [Sunzha River, flowsThrough, Sunzha (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunzha (town) Context triple: [Sunzha River, flowsThrough, Sunzha (town)]
-
A.
Luodian Town
Luodian Town is a suburban town in Shanghai, China, known for its residential communities and local commerce within Baoshan District.
-
B.
Jinhu Township
Jinhu Township is a rural coastal township in Kinmen County, Taiwan, known for its military history, traditional villages, and role as a frontline outpost near mainland China.
-
C.
Gucun Town
Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
-
D.
Wuqiu Township
Wuqiu Township is a small, remote island township administered by Kinmen County of Taiwan, located in the Taiwan Strait and known for its strategic military significance.
-
E.
Gaojing Town
Gaojing Town is an administrative town located within Baoshan District in the northern part of Shanghai, China.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Sunzha (town) Triple: [Sunzha River, flowsThrough, Sunzha (town)]
Generated description
Sunzha is a small town in the Republic of Ingushetia in southwestern Russia, situated in the North Caucasus region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sunzha (town) Target entity description: Sunzha is a small town in the Republic of Ingushetia in southwestern Russia, situated in the North Caucasus region.
-
A.
Luodian Town
Luodian Town is a suburban town in Shanghai, China, known for its residential communities and local commerce within Baoshan District.
-
B.
Jinhu Township
Jinhu Township is a rural coastal township in Kinmen County, Taiwan, known for its military history, traditional villages, and role as a frontline outpost near mainland China.
-
C.
Gucun Town
Gucun Town is a suburban township in Shanghai, China, known for its large Gucun Park and residential communities within Baoshan District.
-
D.
Wuqiu Township
Wuqiu Township is a small, remote island township administered by Kinmen County of Taiwan, located in the Taiwan Strait and known for its strategic military significance.
-
E.
Gaojing Town
Gaojing Town is an administrative town located within Baoshan District in the northern part of Shanghai, China.
- F. None of above. chosen
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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02085d0e48190b8d185fe7f3d8579 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02862bd048190b9db0fd3f3562da2 |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c03f8b6e948190870b98d6d69193fe |
completed | March 22, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0404f0a3081908850794f9a5cea40 |
completed | March 22, 2026, 7:17 p.m. |
Created at: March 22, 2026, 3:37 p.m.