Triple
T14692625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handan City |
E345071
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
邯郸市
邯郸市 is a historically significant prefecture-level city in southern Hebei Province, China, known as an ancient capital and important industrial and transportation hub in the North China Plain.
|
E1114379
|
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: 邯郸市 | Statement: [Handan City, hasChineseName, 邯郸市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 邯郸市 Context triple: [Handan City, hasChineseName, 邯郸市]
-
A.
长治市
长治市是位于中国山西省东南部的一座地级市,以其悠久历史、红色革命文化和煤炭等资源型工业而闻名。
-
B.
长治
长治是位于中国山西省东南部的一座历史悠久的地级市,以煤炭资源和红色革命文化闻名。
-
C.
Hengshui
Hengshui is a prefecture-level city in southeastern Hebei Province, China, known for its traditional culture, agriculture, and growing industrial base.
-
D.
Xingtai
Xingtai is a historic prefecture-level city in southern Hebei Province, China, known as one of the country’s oldest cities and an important regional industrial and transportation hub.
-
E.
Cangzhou
Cangzhou is a prefecture-level city in eastern Hebei Province, China, known for its location near the Bohai Sea and its traditional martial arts heritage.
- 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: 邯郸市 Triple: [Handan City, hasChineseName, 邯郸市]
Generated description
邯郸市 is a historically significant prefecture-level city in southern Hebei Province, China, known as an ancient capital and important industrial and transportation hub in the North China Plain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 邯郸市 Target entity description: 邯郸市 is a historically significant prefecture-level city in southern Hebei Province, China, known as an ancient capital and important industrial and transportation hub in the North China Plain.
-
A.
长治市
长治市是位于中国山西省东南部的一座地级市,以其悠久历史、红色革命文化和煤炭等资源型工业而闻名。
-
B.
长治
长治是位于中国山西省东南部的一座历史悠久的地级市,以煤炭资源和红色革命文化闻名。
-
C.
Hengshui
Hengshui is a prefecture-level city in southeastern Hebei Province, China, known for its traditional culture, agriculture, and growing industrial base.
-
D.
Xingtai
Xingtai is a historic prefecture-level city in southern Hebei Province, China, known as one of the country’s oldest cities and an important regional industrial and transportation hub.
-
E.
Cangzhou
Cangzhou is a prefecture-level city in eastern Hebei Province, China, known for its location near the Bohai Sea and its traditional martial arts heritage.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde18b4bdc8190b5daf05484de7cd8 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde5c65ce0819092a385e92243a3c7 |
completed | May 8, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde638f42c8190ba56f9e2f4b03090 |
completed | May 8, 2026, 1:33 p.m. |
Created at: April 10, 2026, 1:28 a.m.