Triple
T21438561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siping |
E528877
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Shuangliao
Shuangliao is a county-level city administered by Siping in Jilin Province, northeastern China.
|
E1486459
|
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: Shuangliao | Statement: [Siping, hasSubdivision, Shuangliao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shuangliao Context triple: [Siping, hasSubdivision, Shuangliao]
-
A.
Songyuan
Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
-
B.
Ning'an
Ning'an is a county-level city in southeastern Heilongjiang Province, China, known for its historical sites and proximity to Jingpo Lake.
-
C.
Shuangyashan
Shuangyashan is a coal-mining and industrial city in northeastern China known for its energy resources and heavy industry.
-
D.
Tieling
Tieling is a prefecture-level city in northeastern China known for its coal resources and location within Liaoning Province.
-
E.
Zhaodong
Zhaodong is a county-level city in Heilongjiang Province in northeastern China, administered by the prefecture-level city of Suihua.
- 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: Shuangliao Triple: [Siping, hasSubdivision, Shuangliao]
Generated description
Shuangliao is a county-level city administered by Siping in Jilin Province, northeastern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shuangliao Target entity description: Shuangliao is a county-level city administered by Siping in Jilin Province, northeastern China.
-
A.
Songyuan
Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
-
B.
Ning'an
Ning'an is a county-level city in southeastern Heilongjiang Province, China, known for its historical sites and proximity to Jingpo Lake.
-
C.
Shuangyashan
Shuangyashan is a coal-mining and industrial city in northeastern China known for its energy resources and heavy industry.
-
D.
Tieling
Tieling is a prefecture-level city in northeastern China known for its coal resources and location within Liaoning Province.
-
E.
Zhaodong
Zhaodong is a county-level city in Heilongjiang Province in northeastern China, administered by the prefecture-level city of Suihua.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee8140a1fc8190bedf297cfc4d4841 |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09cfe4c0c8819086098241b897b168 |
completed | May 17, 2026, 2:25 p.m. |
| NEDg | Description generation | batch_6a09d0beeca08190aab1481703eea62b |
completed | May 17, 2026, 2:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09d1123780819082577e449898d489 |
completed | May 17, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:04 p.m.