Triple
T8202317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 十堰 |
E191607
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object |
张湾区
张湾区是湖北省十堰市下辖的一个市辖区和主要城区之一，以工业基础和城市综合功能较为发达而著称。
|
E718699
|
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: 张湾区 | Statement: [十堰, hasMunicipalSeat, 张湾区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 张湾区 Context triple: [十堰, hasMunicipalSeat, 张湾区]
-
A.
十堰
十堰 is a prefecture-level city in northwestern Hubei Province, China, known as an important automotive manufacturing base and gateway to the Wudang Mountains.
-
B.
汉阳
汉阳是中国湖北省武汉市的一个历史悠久的城区，位于长江与汉江交汇处，以其工业基础和文化遗产而闻名。
-
C.
Guangyang District
Guangyang District is an urban district of Langfang City in Hebei Province, China, located in the Beijing–Tianjin corridor and known for its role in regional transportation and commerce.
-
D.
Yingzhou District
Yingzhou District is an urban administrative district that forms part of the prefecture-level city of Fuyang in Anhui Province, China.
-
E.
黄冈市
黄冈市是中国湖北省东部的一座地级市，位于长江中游、与武汉相邻，以其红色革命历史和丰富的自然资源而闻名。
- 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: 张湾区 Triple: [十堰, hasMunicipalSeat, 张湾区]
Generated description
张湾区是湖北省十堰市下辖的一个市辖区和主要城区之一，以工业基础和城市综合功能较为发达而著称。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 张湾区 Target entity description: 张湾区是湖北省十堰市下辖的一个市辖区和主要城区之一，以工业基础和城市综合功能较为发达而著称。
-
A.
十堰
十堰 is a prefecture-level city in northwestern Hubei Province, China, known as an important automotive manufacturing base and gateway to the Wudang Mountains.
-
B.
汉阳
汉阳是中国湖北省武汉市的一个历史悠久的城区，位于长江与汉江交汇处，以其工业基础和文化遗产而闻名。
-
C.
Guangyang District
Guangyang District is an urban district of Langfang City in Hebei Province, China, located in the Beijing–Tianjin corridor and known for its role in regional transportation and commerce.
-
D.
Yingzhou District
Yingzhou District is an urban administrative district that forms part of the prefecture-level city of Fuyang in Anhui Province, China.
-
E.
黄冈市
黄冈市是中国湖北省东部的一座地级市，位于长江中游、与武汉相邻，以其红色革命历史和丰富的自然资源而闻名。
- 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb5df84b108190b4407a72a3500af9 |
completed | March 31, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccedc49ba4819099762f200c4e6577 |
completed | April 1, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_69ccf1b818588190936f96d53bf08c2b |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05ac594c819087d23a7318fd7704 |
completed | April 1, 2026, 11:46 a.m. |
Created at: March 30, 2026, 5:43 p.m.