Triple
T15474587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebi |
E376751
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Shancheng District
Shancheng District is an urban administrative district of the prefecture-level city of Hebi in Henan Province, China.
|
E1250359
|
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: Shancheng District | Statement: [Hebi, hasSubdivision, Shancheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shancheng District Context triple: [Hebi, hasSubdivision, Shancheng District]
-
A.
Shuocheng District
Shuocheng District is the central urban district and administrative heart of Shuozhou City in Shanxi Province, China.
-
B.
Shunqing District
Shunqing District is the central urban district and administrative heart of Nanchong City in Sichuan Province, China.
-
C.
Chengguan District
Chengguan District is the central urban district and administrative, commercial, and cultural core of Lanzhou, the capital of Gansu Province in northwestern China.
-
D.
Chengguan District
Chengguan District is the central urban district of Lhasa, serving as the political, economic, and cultural core of the Tibet Autonomous Region's capital city.
-
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: Shancheng District Triple: [Hebi, hasSubdivision, Shancheng District]
Generated description
Shancheng District is an urban administrative district of the prefecture-level city of Hebi in Henan Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shancheng District Target entity description: Shancheng District is an urban administrative district of the prefecture-level city of Hebi in Henan Province, China.
-
A.
Shuocheng District
Shuocheng District is the central urban district and administrative heart of Shuozhou City in Shanxi Province, China.
-
B.
Shunqing District
Shunqing District is the central urban district and administrative heart of Nanchong City in Sichuan Province, China.
-
C.
Chengguan District
Chengguan District is the central urban district and administrative, commercial, and cultural core of Lanzhou, the capital of Gansu Province in northwestern China.
-
D.
Chengguan District
Chengguan District is the central urban district of Lhasa, serving as the political, economic, and cultural core of the Tibet Autonomous Region's capital city.
-
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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139e10e94819092b71606dbe4f5d5 |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013ae388548190b09d2c81e1ab0d02 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b4df74c81908b3b99e276531e13 |
completed | May 11, 2026, 2:13 a.m. |
Created at: April 10, 2026, 3:34 a.m.