Triple
T14964454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuxin |
E373152
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Xihe District
Xihe District is an administrative urban district within the city of Fuxin in Liaoning Province, northeastern China.
|
E1207658
|
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: Xihe District | Statement: [Fuxin, hasDistrict, Xihe District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xihe District Context triple: [Fuxin, hasDistrict, Xihe District]
-
A.
Huichuan District
Huichuan District is an urban administrative district within the prefecture-level city of Zunyi in Guizhou Province, China.
-
B.
Linzi District
Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
-
C.
Linwei District
Linwei District is an urban administrative district in Weinan, Shaanxi Province, China, serving as the city's central political and economic area.
-
D.
Neihu District
Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
-
E.
Xiuying District
Xiuying District is an urban administrative district of Haikou City on Hainan Island in southern China, known for its coastal location and role in the city's development.
- 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: Xihe District Triple: [Fuxin, hasDistrict, Xihe District]
Generated description
Xihe District is an administrative urban district within the city of Fuxin in Liaoning Province, northeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xihe District Target entity description: Xihe District is an administrative urban district within the city of Fuxin in Liaoning Province, northeastern China.
-
A.
Huichuan District
Huichuan District is an urban administrative district within the prefecture-level city of Zunyi in Guizhou Province, China.
-
B.
Linzi District
Linzi District is an urban district of Zibo in Shandong Province, China, historically known as the ancient capital of the State of Qi.
-
C.
Linwei District
Linwei District is an urban administrative district in Weinan, Shaanxi Province, China, serving as the city's central political and economic area.
-
D.
Neihu District
Neihu District is a suburban and technology-focused district in northeastern Taipei, Taiwan, known for its science parks, residential communities, and natural scenery.
-
E.
Xiuying District
Xiuying District is an urban administrative district of Haikou City on Hainan Island in southern China, known for its coastal location and role in the city's development.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025e9b00c81908cb5f305c894363f |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0029d7f4988190884ec34f55338b28 |
completed | May 10, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002a4753608190b0d31a1913b2ba2c |
completed | May 10, 2026, 6:48 a.m. |
Created at: April 10, 2026, 2:45 a.m.