Triple
T15843601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhumadian |
E384158
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
驻马店市
驻马店市 is a prefecture-level city in southern Henan Province, China, known as an important agricultural and transportation hub in the Central Plains region.
|
E1179771
|
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: 驻马店市 | Statement: [Zhumadian, hasChineseName, 驻马店市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 驻马店市 Context triple: [Zhumadian, hasChineseName, 驻马店市]
-
A.
漯河市
漯河市 is a prefecture-level city in central China’s Henan Province, known as an important transportation hub and food-processing center along the middle reaches of the Yellow River region.
-
B.
平顶山
平顶山是位于中国河南省中部、以煤炭资源和重工业著称的地级市。
-
C.
南阳
南阳 is a prefecture-level city in southwestern Henan Province, China, known as a historic cultural center and important transportation hub in the region.
-
D.
安陆市
安陆市 is a county-level city in central China’s Hubei Province, administered by the prefecture-level city of Xiaogan and known for its long history and agricultural economy.
-
E.
广水市
广水市是中国湖北省东北部由县级市改制而成的一座城市,以其交通枢纽地位和历史文化资源而闻名。
- 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: 驻马店市 Triple: [Zhumadian, hasChineseName, 驻马店市]
Generated description
驻马店市 is a prefecture-level city in southern Henan Province, China, known as an important agricultural and transportation hub in the Central Plains region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 驻马店市 Target entity description: 驻马店市 is a prefecture-level city in southern Henan Province, China, known as an important agricultural and transportation hub in the Central Plains region.
-
A.
漯河市
漯河市 is a prefecture-level city in central China’s Henan Province, known as an important transportation hub and food-processing center along the middle reaches of the Yellow River region.
-
B.
平顶山
平顶山是位于中国河南省中部、以煤炭资源和重工业著称的地级市。
-
C.
南阳
南阳 is a prefecture-level city in southwestern Henan Province, China, known as a historic cultural center and important transportation hub in the region.
-
D.
安陆市
安陆市 is a county-level city in central China’s Hubei Province, administered by the prefecture-level city of Xiaogan and known for its long history and agricultural economy.
-
E.
广水市
广水市是中国湖北省东北部由县级市改制而成的一座城市,以其交通枢纽地位和历史文化资源而闻名。
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142ea3da08190a9d2d5917f84907c |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa1412c9481909808473e14058033 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa419c6dc81908c9678f8434530f8 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa4cff5088190a7f11fd62941f4fb |
completed | May 9, 2026, 9:19 p.m. |
Created at: April 10, 2026, 4:50 a.m.