Triple
T13303497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qiqihar |
E316873
|
entity |
| Predicate | administrativeDivisionOf |
P747
|
FINISHED |
| Object |
Tiefeng District
Tiefeng District is an urban district of the city of Qiqihar in Heilongjiang Province, northeastern China.
|
E1081917
|
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: Tiefeng District | Statement: [Qiqihar, administrativeDivisionOf, Tiefeng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiefeng District Context triple: [Qiqihar, administrativeDivisionOf, Tiefeng District]
-
A.
Zhifu District
Zhifu District is the central urban district and administrative, commercial, and cultural core of Yantai in Shandong Province, China.
-
B.
Shuangxi District
Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
-
C.
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.
-
D.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
E.
Zhanqian District
Zhanqian District is an urban administrative district under the jurisdiction of Yingkou City in Liaoning 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: Tiefeng District Triple: [Qiqihar, administrativeDivisionOf, Tiefeng District]
Generated description
Tiefeng District is an urban district of the city of Qiqihar in Heilongjiang Province, northeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiefeng District Target entity description: Tiefeng District is an urban district of the city of Qiqihar in Heilongjiang Province, northeastern China.
-
A.
Zhifu District
Zhifu District is the central urban district and administrative, commercial, and cultural core of Yantai in Shandong Province, China.
-
B.
Shuangxi District
Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
-
C.
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.
-
D.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
E.
Zhanqian District
Zhanqian District is an urban administrative district under the jurisdiction of Yingkou City in Liaoning 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a60eb08190bf0dc098ca7dc342 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdeea935081909baffaadc8a8fac7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce38906cc8190a8e58fd13b25a385 |
completed | May 7, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce403d03c81909432e41d47e6b53f |
completed | May 7, 2026, 7:12 p.m. |
Created at: April 9, 2026, 9:28 p.m.