Triple
T10615102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaozhuang City |
E276097
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Yicheng District
Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
|
E915773
|
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: Yicheng District | Statement: [Zaozhuang City, hasSubdivision, Yicheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yicheng District Context triple: [Zaozhuang City, hasSubdivision, Yicheng District]
-
A.
Lucheng District
Lucheng District is the central urban district and administrative, commercial, and cultural core of Wenzhou in Zhejiang 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.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
D.
Chengxi District
Chengxi District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
-
E.
Zhengxiang District
Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
- 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: Yicheng District Triple: [Zaozhuang City, hasSubdivision, Yicheng District]
Generated description
Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yicheng District Target entity description: Yicheng District is an urban administrative district under the jurisdiction of Zaozhuang City in Shandong Province, eastern China.
-
A.
Lucheng District
Lucheng District is the central urban district and administrative, commercial, and cultural core of Wenzhou in Zhejiang 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.
Hecheng District
Hecheng District is the central urban district and administrative seat of Huaihua in Hunan Province, China.
-
D.
Chengxi District
Chengxi District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
-
E.
Zhengxiang District
Zhengxiang District is an urban administrative district of Hengyang City in Hunan Province, China, known for its role as one of the city's central built-up areas.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5da6808190bd4cb486431dc42c |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4f31e3d5c8190a044eaf67ebc9f08 |
completed | April 19, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69e4f7dbfafc8190afa1e9fe67f1296e |
completed | April 19, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4ff4645948190a2bfcc3a4efd8e2a |
completed | April 19, 2026, 4:13 p.m. |
Created at: April 8, 2026, 7:33 p.m.