Triple
T21216020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaochang area oases |
E522837
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object |
Gaochang
Gaochang was an ancient Silk Road oasis kingdom and trading hub located near modern Turpan in Xinjiang, China.
|
E1475292
|
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: Gaochang | Statement: [Gaochang area oases, historicalRegion, Gaochang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaochang Context triple: [Gaochang area oases, historicalRegion, Gaochang]
-
A.
Longcheng
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
-
B.
Guangdu
Guangdu is an ancient historical name for the area now known as Nanchong, a major city in Sichuan Province, China.
-
C.
Baidi City
Baidi City is an ancient fortress and historical town in Fengjie County, Chongqing, China, famed as a cultural landmark overlooking the Yangtze River and associated with classic Chinese poetry and the Three Gorges region.
-
D.
Chengguan
Chengguan was an influential Tang dynasty Buddhist monk and scholar renowned for his authoritative commentaries on Huayan (Avatamsaka) doctrine.
-
E.
Chardzhou
Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
- 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: Gaochang Triple: [Gaochang area oases, historicalRegion, Gaochang]
Generated description
Gaochang was an ancient Silk Road oasis kingdom and trading hub located near modern Turpan in Xinjiang, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gaochang Target entity description: Gaochang was an ancient Silk Road oasis kingdom and trading hub located near modern Turpan in Xinjiang, China.
-
A.
Longcheng
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
-
B.
Guangdu
Guangdu is an ancient historical name for the area now known as Nanchong, a major city in Sichuan Province, China.
-
C.
Baidi City
Baidi City is an ancient fortress and historical town in Fengjie County, Chongqing, China, famed as a cultural landmark overlooking the Yangtze River and associated with classic Chinese poetry and the Three Gorges region.
-
D.
Chengguan
Chengguan was an influential Tang dynasty Buddhist monk and scholar renowned for his authoritative commentaries on Huayan (Avatamsaka) doctrine.
-
E.
Chardzhou
Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
- 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_69e0b511ed84819099b449b4a111085c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73473870c8190a0f41f9c85567aa7 |
completed | April 21, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a098febb9d4819093d8ae8296f658f9 |
completed | May 17, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a0991423b288190b190b1cbf2589323 |
completed | May 17, 2026, 9:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09929e2ad881908e3497f9c3f2f77c |
completed | May 17, 2026, 10:04 a.m. |
Created at: April 16, 2026, 3:40 p.m.