Triple
T1692975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chongqing |
E36590
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Beibei District
Beibei District is an urban district of Chongqing, China, known for its scenic landscapes, hot springs, and educational institutions.
|
E209150
|
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: Beibei District | Statement: [Chongqing, hasDistrict, Beibei District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beibei District Context triple: [Chongqing, hasDistrict, Beibei District]
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Xicheng District
Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
-
C.
Haizhu District
Haizhu District is a central urban district of Guangzhou, China, known for its mix of residential areas, commercial centers, and cultural sites along the Pearl River.
-
D.
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.
-
E.
Hongshan District
Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
- 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: Beibei District Triple: [Chongqing, hasDistrict, Beibei District]
Generated description
Beibei District is an urban district of Chongqing, China, known for its scenic landscapes, hot springs, and educational institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beibei District Target entity description: Beibei District is an urban district of Chongqing, China, known for its scenic landscapes, hot springs, and educational institutions.
-
A.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
B.
Xicheng District
Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
-
C.
Haizhu District
Haizhu District is a central urban district of Guangzhou, China, known for its mix of residential areas, commercial centers, and cultural sites along the Pearl River.
-
D.
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.
-
E.
Hongshan District
Hongshan District is an urban district of Wuhan in Hubei Province, China, known for its educational institutions, technology parks, and major transportation hubs.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b097488190907e3bce234e3c77 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf3608208190a27b0f949da83fcd |
completed | March 8, 2026, 8:42 p.m. |
| NEDg | Description generation | batch_69addfe46b388190b319043170253701 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade08d0ce0819097beb901dbb39d89 |
completed | March 8, 2026, 8:48 p.m. |
Created at: March 4, 2026, 7:29 p.m.