Triple
T2345993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baoshan District |
E45131
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Gaojing Town
Gaojing Town is an administrative town located within Baoshan District in the northern part of Shanghai, China.
|
E278957
|
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: Gaojing Town | Statement: [Baoshan District, contains, Gaojing Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaojing Town Context triple: [Baoshan District, contains, Gaojing Town]
-
A.
Luojing Town
Luojing Town is a suburban township-level division of Shanghai, China, situated within the municipality’s northern Baoshan District.
-
B.
Xikou Town
Xikou Town is a historic town in Fenghua District, Ningbo, Zhejiang Province, best known as the hometown of Chiang Kai-shek and a popular cultural and tourist destination.
-
C.
Miaohang Town
Miaohang Town is a suburban township-level division in the northern part of Shanghai, China, known for its mix of residential, industrial, and developing urban areas.
-
D.
Jinhu Township
Jinhu Township is a rural coastal township in Kinmen County, Taiwan, known for its military history, traditional villages, and role as a frontline outpost near mainland China.
-
E.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
- 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: Gaojing Town Triple: [Baoshan District, contains, Gaojing Town]
Generated description
Gaojing Town is an administrative town located within Baoshan District in the northern part of Shanghai, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaojing Town Target entity description: Gaojing Town is an administrative town located within Baoshan District in the northern part of Shanghai, China.
-
A.
Luojing Town
Luojing Town is a suburban township-level division of Shanghai, China, situated within the municipality’s northern Baoshan District.
-
B.
Xikou Town
Xikou Town is a historic town in Fenghua District, Ningbo, Zhejiang Province, best known as the hometown of Chiang Kai-shek and a popular cultural and tourist destination.
-
C.
Miaohang Town
Miaohang Town is a suburban township-level division in the northern part of Shanghai, China, known for its mix of residential, industrial, and developing urban areas.
-
D.
Jinhu Township
Jinhu Township is a rural coastal township in Kinmen County, Taiwan, known for its military history, traditional villages, and role as a frontline outpost near mainland China.
-
E.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6c7cb9481909405aeb503f804ae |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af653ce900819097157ca76cb45a81 |
completed | March 10, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69af66a4d21081908795660023edd079 |
completed | March 10, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af67265b2c81909665c2c5acc0d776 |
completed | March 10, 2026, 12:34 a.m. |
Created at: March 4, 2026, 7:52 p.m.