Triple
T267903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubei Province |
E5772
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object |
Huangshi
Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
|
E38812
|
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: Huangshi | Statement: [Hubei Province, majorCity, Huangshi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huangshi Context triple: [Hubei Province, majorCity, Huangshi]
-
A.
Wuhan
Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
-
B.
Guangzhou
Guangzhou is a major port city in southern China and the capital of Guangdong Province, known as a key commercial and manufacturing hub in the Pearl River Delta.
-
C.
Chongqing
Chongqing is a vast inland metropolis in southwestern China known for its steep hilly terrain, spicy hotpot cuisine, and role as a major industrial and transportation hub along the upper Yangtze River.
-
D.
Shenyang
Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
-
E.
Hefei
Hefei is the capital and largest city of Anhui Province in eastern China, known as a major industrial, scientific, and educational center.
- 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: Huangshi Triple: [Hubei Province, majorCity, Huangshi]
Generated description
Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huangshi Target entity description: Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
-
A.
Wuhan
Wuhan is a major city in central China, known as a key industrial, commercial, and transportation hub located at the confluence of the Yangtze and Han rivers.
-
B.
Guangzhou
Guangzhou is a major port city in southern China and the capital of Guangdong Province, known as a key commercial and manufacturing hub in the Pearl River Delta.
-
C.
Chongqing
Chongqing is a vast inland metropolis in southwestern China known for its steep hilly terrain, spicy hotpot cuisine, and role as a major industrial and transportation hub along the upper Yangtze River.
-
D.
Shenyang
Shenyang is a major industrial and historical city in northeastern China and the capital of Liaoning Province.
-
E.
Hefei
Hefei is the capital and largest city of Anhui Province in eastern China, known as a major industrial, scientific, and educational center.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3ab9c2ac4819089557c7f0335c520 |
completed | March 1, 2026, 2:59 a.m. |
| NEDg | Description generation | batch_69a3ac033024819090d3dadfa388157e |
completed | March 1, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3ac553b888190945c5f090626efb5 |
completed | March 1, 2026, 3:02 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.