Triple
T15347514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benxi |
E366961
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Nanfen District
Nanfen District is an administrative district under the jurisdiction of the city of Benxi in Liaoning Province, northeastern China.
|
E1151803
|
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: Nanfen District | Statement: [Benxi, hasSubdivision, Nanfen District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanfen District Context triple: [Benxi, hasSubdivision, Nanfen District]
-
A.
Congtai District
Congtai District is a central urban district of Handan City in Hebei Province, China, serving as one of its main administrative and commercial areas.
-
B.
Yantan District
Yantan District is an urban administrative district of Zigong, a prefecture-level city in Sichuan Province, China.
-
C.
Wanbailin District
Wanbailin District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
D.
Zhen’an District
Zhen’an District is an urban administrative district of the city of Dandong in Liaoning Province, northeastern China, located near the border with North Korea.
-
E.
Shangzhou District
Shangzhou District is an urban administrative district in Shangluo, Shaanxi Province, China, serving as the city's political and economic center.
- 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: Nanfen District Triple: [Benxi, hasSubdivision, Nanfen District]
Generated description
Nanfen District is an administrative district under the jurisdiction of the city of Benxi in Liaoning Province, northeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nanfen District Target entity description: Nanfen District is an administrative district under the jurisdiction of the city of Benxi in Liaoning Province, northeastern China.
-
A.
Congtai District
Congtai District is a central urban district of Handan City in Hebei Province, China, serving as one of its main administrative and commercial areas.
-
B.
Yantan District
Yantan District is an urban administrative district of Zigong, a prefecture-level city in Sichuan Province, China.
-
C.
Wanbailin District
Wanbailin District is an urban administrative district of Taiyuan, the capital city of Shanxi Province in northern China.
-
D.
Zhen’an District
Zhen’an District is an urban administrative district of the city of Dandong in Liaoning Province, northeastern China, located near the border with North Korea.
-
E.
Shangzhou District
Shangzhou District is an urban administrative district in Shangluo, Shaanxi Province, China, serving as the city's political and economic center.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e1749bc8190a8b9cbcb27288a5b |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fb46b48190a030e40ee0163559 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff031869a481909911d251aa9ce3e8 |
completed | May 9, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff03c0ebc081908b1a132256e9d004 |
completed | May 9, 2026, 9:52 a.m. |
Created at: April 10, 2026, 3:17 a.m.