Triple
T9589796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalgan |
E231386
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Chang-chia-kou
Chang-chia-kou is the historical Chinese name for Kalgan (now Zhangjiakou), a key city in Hebei province that long served as a strategic gateway between northern China and Inner Mongolia.
|
E808087
|
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: Chang-chia-kou | Statement: [Kalgan, alsoKnownAs, Chang-chia-kou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chang-chia-kou Context triple: [Kalgan, alsoKnownAs, Chang-chia-kou]
-
A.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
B.
Chungshan
Chungshan is an older romanization of Zhongshan, a major city in Guangdong Province, China, named in honor of Sun Yat-sen.
-
C.
Weihsien
Weihsien is a town in Shandong Province, China, historically known for hosting a major World War II civilian internment camp run by the Japanese.
-
D.
Jianye
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
-
E.
Changle
Changle is a coastal city in eastern China located on the Shandong Peninsula.
- 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: Chang-chia-kou Triple: [Kalgan, alsoKnownAs, Chang-chia-kou]
Generated description
Chang-chia-kou is the historical Chinese name for Kalgan (now Zhangjiakou), a key city in Hebei province that long served as a strategic gateway between northern China and Inner Mongolia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chang-chia-kou Target entity description: Chang-chia-kou is the historical Chinese name for Kalgan (now Zhangjiakou), a key city in Hebei province that long served as a strategic gateway between northern China and Inner Mongolia.
-
A.
Hsiu-chu
Hsiu-chu is a feminine given name of Chinese origin, notably borne by Taiwanese politician Hung Hsiu-chu.
-
B.
Chungshan
Chungshan is an older romanization of Zhongshan, a major city in Guangdong Province, China, named in honor of Sun Yat-sen.
-
C.
Weihsien
Weihsien is a town in Shandong Province, China, historically known for hosting a major World War II civilian internment camp run by the Japanese.
-
D.
Jianye
Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
-
E.
Changle
Changle is a coastal city in eastern China located on the Shandong Peninsula.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99f32e688190bb13bccfa5031f16 |
completed | April 1, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d161880adc819090a9be75ba2a1642 |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d161d569b88190a3d77bbe752e0c86 |
completed | April 4, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d162476bf481909a87057e4fd1dc11 |
completed | April 4, 2026, 7:11 p.m. |
Created at: March 30, 2026, 8:06 p.m.