Triple
T7922822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xichang Satellite Launch Center |
E183986
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Xichang
Xichang is a city in Sichuan Province, China, known as a major hub for the country’s space launch activities and related aerospace industry.
|
E714889
|
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: Xichang | Statement: [Xichang Satellite Launch Center, locatedIn, Xichang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xichang Context triple: [Xichang Satellite Launch Center, locatedIn, Xichang]
-
A.
Yibin
Yibin is a historic prefecture-level city in southwestern China known as the "First City on the Yangtze River," where the Jinsha and Min rivers converge to form the Yangtze.
-
B.
Deyang
Deyang is an industrial city in southwestern China known for its heavy machinery manufacturing and location near Chengdu in Sichuan Province.
-
C.
Meizhou
Meizhou is a city in eastern Guangdong, China, known as a cultural and historical center of the Hakka people.
-
D.
Luzhou
Luzhou is a prefecture-level city in southern Sichuan, China, known for its historic river port and famous strong-aroma baijiu liquor industry.
-
E.
Luzhou
Luzhou is an old historical name for the city now known as Hefei, the capital of Anhui Province in eastern China.
- 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: Xichang Triple: [Xichang Satellite Launch Center, locatedIn, Xichang]
Generated description
Xichang is a city in Sichuan Province, China, known as a major hub for the country’s space launch activities and related aerospace industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xichang Target entity description: Xichang is a city in Sichuan Province, China, known as a major hub for the country’s space launch activities and related aerospace industry.
-
A.
Yibin
Yibin is a historic prefecture-level city in southwestern China known as the "First City on the Yangtze River," where the Jinsha and Min rivers converge to form the Yangtze.
-
B.
Deyang
Deyang is an industrial city in southwestern China known for its heavy machinery manufacturing and location near Chengdu in Sichuan Province.
-
C.
Meizhou
Meizhou is a city in eastern Guangdong, China, known as a cultural and historical center of the Hakka people.
-
D.
Luzhou
Luzhou is a prefecture-level city in southern Sichuan, China, known for its historic river port and famous strong-aroma baijiu liquor industry.
-
E.
Luzhou
Luzhou is an old historical name for the city now known as Hefei, the capital of Anhui Province in eastern China.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aaadd1c8190971f2a6c7636cae4 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbde69b608190a49d93c04c46787d |
completed | April 1, 2026, 6:40 a.m. |
| NEDg | Description generation | batch_69ccc24a39f88190995f076d1a7ec3e7 |
completed | April 1, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccc37f0ca88190b4e077f23dbbe6f8 |
completed | April 1, 2026, 7:04 a.m. |
Created at: March 30, 2026, 5:06 p.m.