Triple
T17442836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 马鞍山 |
E424699
|
entity |
| Predicate | hasCompany |
P1287
|
FINISHED |
| Object |
马钢集团
马钢集团是一家以钢铁生产为主的大型国有企业集团,是中国重要的钢铁基地之一。
|
E1269105
|
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: 马钢集团 | Statement: [马鞍山, hasCompany, 马钢集团]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 马钢集团 Context triple: [马鞍山, hasCompany, 马钢集团]
-
A.
Panzhihua Iron and Steel Group
Panzhihua Iron and Steel Group is a large Chinese steel manufacturer based in Panzhihua, Sichuan, known for producing steel and vanadium products.
-
B.
Liuzhou Iron and Steel (Liuzhou Steel Group)
Liuzhou Iron and Steel (Liuzhou Steel Group) is a major Chinese state-owned steel manufacturer based in Liuzhou, Guangxi, known for producing a wide range of steel products for construction, machinery, and automotive industries.
-
C.
Shougang Group
Shougang Group is a major Chinese state-owned steel company based in Beijing, known as one of the country’s oldest and largest steel producers.
-
D.
Anshan Iron and Steel Group
Anshan Iron and Steel Group is one of China’s major state-owned steel producers, historically significant as a core enterprise in the country’s heavy industry sector.
-
E.
Baotou Steel
Baotou Steel is one of China’s largest state-owned iron and steel producers, based in Baotou, Inner Mongolia, and a major supplier to the country’s heavy industry.
- 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: 马钢集团 Triple: [马鞍山, hasCompany, 马钢集团]
Generated description
马钢集团是一家以钢铁生产为主的大型国有企业集团,是中国重要的钢铁基地之一。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 马钢集团 Target entity description: 马钢集团是一家以钢铁生产为主的大型国有企业集团,是中国重要的钢铁基地之一。
-
A.
Panzhihua Iron and Steel Group
Panzhihua Iron and Steel Group is a large Chinese steel manufacturer based in Panzhihua, Sichuan, known for producing steel and vanadium products.
-
B.
Liuzhou Iron and Steel (Liuzhou Steel Group)
Liuzhou Iron and Steel (Liuzhou Steel Group) is a major Chinese state-owned steel manufacturer based in Liuzhou, Guangxi, known for producing a wide range of steel products for construction, machinery, and automotive industries.
-
C.
Shougang Group
Shougang Group is a major Chinese state-owned steel company based in Beijing, known as one of the country’s oldest and largest steel producers.
-
D.
Anshan Iron and Steel Group
Anshan Iron and Steel Group is one of China’s major state-owned steel producers, historically significant as a core enterprise in the country’s heavy industry sector.
-
E.
Baotou Steel
Baotou Steel is one of China’s largest state-owned iron and steel producers, based in Baotou, Inner Mongolia, and a major supplier to the country’s heavy industry.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff927ec8190995798f569e913ba |
completed | April 19, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01aff63d688190b8fa63c8edafc01c |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b0a265348190a884a58f3caf54df |
completed | May 11, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b1b0553c8190bb76969fe95154ff |
completed | May 11, 2026, 10:38 a.m. |
Created at: April 10, 2026, 5:47 a.m.