Triple
T10002125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meixian Hakka |
E197351
|
entity |
| Predicate | primaryRegion |
P1103
|
FINISHED |
| Object |
Meixian District
Meixian District is a historically significant Hakka cultural heartland in Guangdong Province, China, known for its rich traditions, language, and distinctive architecture.
|
E874948
|
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: Meixian District | Statement: [Meixian Hakka, primaryRegion, Meixian District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meixian District Context triple: [Meixian Hakka, primaryRegion, Meixian District]
-
A.
Mouping District
Mouping District is an urban administrative district of the coastal city of Yantai in Shandong Province, China.
-
B.
Louxing District
Louxing District is the central urban district and administrative seat of Loudi City in Hunan Province, China.
-
C.
Linxiang District
Linxiang District is an urban administrative district that serves as the central seat of Lincang City in Yunnan Province, China.
-
D.
Xisaishan District
Xisaishan District is an urban administrative district of Huangshi City in Hubei Province, China.
-
E.
Xiufeng District
Xiufeng District is an urban district and administrative division of Guilin City in Guangxi, China, known for its central location and role in the city's governance and commerce.
- 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: Meixian District Triple: [Meixian Hakka, primaryRegion, Meixian District]
Generated description
Meixian District is a historically significant Hakka cultural heartland in Guangdong Province, China, known for its rich traditions, language, and distinctive architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meixian District Target entity description: Meixian District is a historically significant Hakka cultural heartland in Guangdong Province, China, known for its rich traditions, language, and distinctive architecture.
-
A.
Mouping District
Mouping District is an urban administrative district of the coastal city of Yantai in Shandong Province, China.
-
B.
Louxing District
Louxing District is the central urban district and administrative seat of Loudi City in Hunan Province, China.
-
C.
Linxiang District
Linxiang District is an urban administrative district that serves as the central seat of Lincang City in Yunnan Province, China.
-
D.
Xisaishan District
Xisaishan District is an urban administrative district of Huangshi City in Hubei Province, China.
-
E.
Xiufeng District
Xiufeng District is an urban district and administrative division of Guilin City in Guangxi, China, known for its central location and role in the city's governance and commerce.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc9078788190a4e75dd7ff830c63 |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96af89e48819093a6c149ac988391 |
completed | April 10, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d96d85f9648190a43c8c924f5139e3 |
completed | April 10, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96e1a36688190b97ced745bc6a30d |
completed | April 10, 2026, 9:39 p.m. |
Created at: March 30, 2026, 8:51 p.m.