Triple
T15265727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quzhou |
E364895
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Kecheng District
Kecheng District is the central urban district and administrative seat of Quzhou City in Zhejiang Province, China.
|
E1226731
|
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: Kecheng District | Statement: [Quzhou, hasDistrict, Kecheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kecheng District Context triple: [Quzhou, hasDistrict, Kecheng District]
-
A.
Tianxin District
Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
-
B.
Longquanyi District
Longquanyi District is an urban district of Chengdu in Sichuan Province, China, known for its rapid development and sports facilities.
-
C.
Xiqing District
Xiqing District is an administrative district in the southwestern part of Tianjin, China, known for its mix of urban development, transportation hubs, and industrial zones.
-
D.
Yuanbao District
Yuanbao District is an urban administrative district within the city of Dandong in Liaoning Province, northeastern China.
-
E.
Hongqi District
Hongqi District is an urban administrative district within the prefecture-level city of Xinxiang in Henan Province, 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: Kecheng District Triple: [Quzhou, hasDistrict, Kecheng District]
Generated description
Kecheng District is the central urban district and administrative seat of Quzhou City in Zhejiang Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kecheng District Target entity description: Kecheng District is the central urban district and administrative seat of Quzhou City in Zhejiang Province, China.
-
A.
Tianxin District
Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
-
B.
Longquanyi District
Longquanyi District is an urban district of Chengdu in Sichuan Province, China, known for its rapid development and sports facilities.
-
C.
Xiqing District
Xiqing District is an administrative district in the southwestern part of Tianjin, China, known for its mix of urban development, transportation hubs, and industrial zones.
-
D.
Yuanbao District
Yuanbao District is an urban administrative district within the city of Dandong in Liaoning Province, northeastern China.
-
E.
Hongqi District
Hongqi District is an urban administrative district within the prefecture-level city of Xinxiang in Henan Province, 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a1d8e088190a2168952ab5dc687 |
completed | May 10, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a008b1b3bcc81908b1b811ed42205ec |
completed | May 10, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008b7c29e88190b5a049cb2e541a8f |
completed | May 10, 2026, 1:43 p.m. |
Created at: April 10, 2026, 3:14 a.m.