Triple
T6917851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tongling |
E160108
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Yi’an District
Yi’an District is an administrative urban district under the jurisdiction of Tongling City in Anhui Province, China.
|
E688155
|
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: Yi’an District | Statement: [Tongling, hasSubdivision, Yi’an District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yi’an District Context triple: [Tongling, hasSubdivision, Yi’an District]
-
A.
Jiancaoping District
Jiancaoping District is an urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its industrial development and residential areas.
-
B.
Xiling District
Xiling District is the central urban district and administrative, commercial, and cultural hub of Yichang in Hubei Province, China.
-
C.
Haicheng District
Haicheng District is an urban administrative district and central area of Beihai City in Guangxi, China.
-
D.
Yingquan District
Yingquan District is an urban administrative district of the city of Fuyang in Anhui Province, China.
-
E.
Tunxi District
Tunxi District is the central urban district and main commercial hub of Huangshan City in Anhui Province, China, known as a gateway to the nearby Huangshan (Yellow Mountain) scenic area.
- 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: Yi’an District Triple: [Tongling, hasSubdivision, Yi’an District]
Generated description
Yi’an District is an administrative urban district under the jurisdiction of Tongling City in Anhui Province, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yi’an District Target entity description: Yi’an District is an administrative urban district under the jurisdiction of Tongling City in Anhui Province, China.
-
A.
Jiancaoping District
Jiancaoping District is an urban district of Taiyuan, the capital city of Shanxi Province in northern China, known for its industrial development and residential areas.
-
B.
Xiling District
Xiling District is the central urban district and administrative, commercial, and cultural hub of Yichang in Hubei Province, China.
-
C.
Haicheng District
Haicheng District is an urban administrative district and central area of Beihai City in Guangxi, China.
-
D.
Yingquan District
Yingquan District is an urban administrative district of the city of Fuyang in Anhui Province, China.
-
E.
Tunxi District
Tunxi District is the central urban district and main commercial hub of Huangshan City in Anhui Province, China, known as a gateway to the nearby Huangshan (Yellow Mountain) scenic area.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e17ea08190b8c4142af8adfba0 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8d67da5708190973ac88aa67e32b1 |
completed | March 29, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_69c8d6e89c5081908638fdfa24abf4dc |
completed | March 29, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8d740c4848190b34f4cf7ad708592 |
completed | March 29, 2026, 7:39 a.m. |
Created at: March 27, 2026, 2:26 p.m.