Triple
T8115161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Huizong of Song |
E189453
|
entity |
| Predicate | eraName |
P2938
|
FINISHED |
| Object |
Daguan
Daguan was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
|
E734690
|
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: Daguan | Statement: [Emperor Huizong of Song, eraName, Daguan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daguan Context triple: [Emperor Huizong of Song, eraName, Daguan]
-
A.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
-
B.
Dunhua
Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
-
C.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
-
D.
Daiyuan
Daiyuan is a given name most notably associated with Teng Daiyuan, a prominent Chinese Communist revolutionary and political leader.
-
E.
Huangcun
Huangcun is a town in Beijing, China, that serves as the administrative and commercial center of the city's southern Daxing District.
- 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: Daguan Triple: [Emperor Huizong of Song, eraName, Daguan]
Generated description
Daguan was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daguan Target entity description: Daguan was a Chinese imperial era name used during the reign of Emperor Huizong of the Song dynasty.
-
A.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
-
B.
Dunhua
Dunhua is a county-level city in northeastern China's Jilin Province, known for its location within the Yanbian Korean Autonomous Prefecture and its mix of Han and Korean cultural influences.
-
C.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
-
D.
Daiyuan
Daiyuan is a given name most notably associated with Teng Daiyuan, a prominent Chinese Communist revolutionary and political leader.
-
E.
Huangcun
Huangcun is a town in Beijing, China, that serves as the administrative and commercial center of the city's southern Daxing District.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43308e0081909ea0463dabd74e4d |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1c8a492c8190bb17895127bb6a82 |
completed | April 2, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_69ce204dabf08190be024eede40ba47d |
completed | April 2, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce20b0e238819086a88e5db6b3382f |
completed | April 2, 2026, 7:54 a.m. |
Created at: March 30, 2026, 5:33 p.m.