Triple
T1624812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henan Province |
E35116
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Pingdingshan
Pingdingshan is a prefecture-level industrial city in central China known for its significant coal mining and energy production.
|
E201921
|
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: Pingdingshan | Statement: [Henan Province, hasMajorCity, Pingdingshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pingdingshan Context triple: [Henan Province, hasMajorCity, Pingdingshan]
-
A.
Huangshi
Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
-
B.
Jingmen
Jingmen is a prefecture-level city in central China known for its role as a regional industrial and transportation hub within Hubei Province.
-
C.
Xiangyang
Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
-
D.
Suizhou
Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
-
E.
Xiaogan
Xiaogan is a prefecture-level city in central China known for its cultural heritage and proximity to the provincial capital, Wuhan, within Hubei Province.
- 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: Pingdingshan Triple: [Henan Province, hasMajorCity, Pingdingshan]
Generated description
Pingdingshan is a prefecture-level industrial city in central China known for its significant coal mining and energy production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pingdingshan Target entity description: Pingdingshan is a prefecture-level industrial city in central China known for its significant coal mining and energy production.
-
A.
Huangshi
Huangshi is an industrial city in eastern Hubei Province, China, known for its steel production and location along the Yangtze River.
-
B.
Jingmen
Jingmen is a prefecture-level city in central China known for its role as a regional industrial and transportation hub within Hubei Province.
-
C.
Xiangyang
Xiangyang is a historic prefecture-level city in northern Hubei Province, China, known for its strategic location on the Han River and well-preserved ancient city walls.
-
D.
Suizhou
Suizhou is a county-level city in northern Hubei Province, China, known for its historical sites and role as a regional transport and economic hub.
-
E.
Xiaogan
Xiaogan is a prefecture-level city in central China known for its cultural heritage and proximity to the provincial capital, Wuhan, within Hubei Province.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909d19b008190b2224717b2909a78 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5b50efc8190a89388dcd7cb13aa |
completed | March 8, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69adb8b2b01c8190997179cdfd55da13 |
completed | March 8, 2026, 5:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adb94aaf348190a28ca8e9d9cacf41 |
completed | March 8, 2026, 6 p.m. |
Created at: March 4, 2026, 7:28 p.m.