Triple
T17956518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhaoqing |
E448964
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Dinghu District
Dinghu District is an administrative urban district of Zhaoqing City in Guangdong Province, China, known for its scenic landscapes and ecological reserves.
|
E1416098
|
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: Dinghu District | Statement: [Zhaoqing, hasSubdivision, Dinghu District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinghu District Context triple: [Zhaoqing, hasSubdivision, Dinghu District]
-
A.
Shunqing District
Shunqing District is the central urban district and administrative heart of Nanchong City in Sichuan Province, China.
-
B.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
C.
Lianshan District
Lianshan District is an urban administrative district of Huludao City in Liaoning Province, northeastern China.
-
D.
Dongchangfu District
Dongchangfu District is the central urban district and administrative seat of Liaocheng in Shandong Province, China.
-
E.
Jianhua District
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern 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: Dinghu District Triple: [Zhaoqing, hasSubdivision, Dinghu District]
Generated description
Dinghu District is an administrative urban district of Zhaoqing City in Guangdong Province, China, known for its scenic landscapes and ecological reserves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dinghu District Target entity description: Dinghu District is an administrative urban district of Zhaoqing City in Guangdong Province, China, known for its scenic landscapes and ecological reserves.
-
A.
Shunqing District
Shunqing District is the central urban district and administrative heart of Nanchong City in Sichuan Province, China.
-
B.
Yuhua District
Yuhua District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
-
C.
Lianshan District
Lianshan District is an urban administrative district of Huludao City in Liaoning Province, northeastern China.
-
D.
Dongchangfu District
Dongchangfu District is the central urban district and administrative seat of Liaocheng in Shandong Province, China.
-
E.
Jianhua District
Jianhua District is a central urban district of Qiqihar City in Heilongjiang Province, northeastern 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afb0afe08190964e771ec632fa1e |
completed | April 19, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c5cfcb8819093bba494d48775ff |
completed | May 16, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a083da579ac8190abd33275c217b1e2 |
completed | May 16, 2026, 9:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083e49d5988190b41e8ce5bcebeca5 |
completed | May 16, 2026, 9:52 a.m. |
Created at: April 10, 2026, 10:21 a.m.