Triple
T7946453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhenwu |
E184509
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object |
Beidi
Beidi is a Chinese deity associated with the north, martial power, and protection, often venerated as a powerful guardian god in Taoist tradition.
|
E704501
|
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: Beidi | Statement: [Zhenwu, alternateName, Beidi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beidi Context triple: [Zhenwu, alternateName, Beidi]
-
A.
Tian
Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
-
B.
Qinghe
Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
-
C.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
D.
Dongfang
Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
-
E.
Beihan
Beihan was a former sultanate in what is now Yemen that later became one of the states within the British-backed Federation of South Arabia.
- 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: Beidi Triple: [Zhenwu, alternateName, Beidi]
Generated description
Beidi is a Chinese deity associated with the north, martial power, and protection, often venerated as a powerful guardian god in Taoist tradition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beidi Target entity description: Beidi is a Chinese deity associated with the north, martial power, and protection, often venerated as a powerful guardian god in Taoist tradition.
-
A.
Tian
Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
-
B.
Qinghe
Qinghe is a subdistrict in Beijing’s Haidian District, known primarily as a residential and administrative area within the city’s northwestern urban zone.
-
C.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
D.
Dongfang
Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
-
E.
Beihan
Beihan was a former sultanate in what is now Yemen that later became one of the states within the British-backed Federation of South Arabia.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe02faa308190aeba83cc6cb96153 |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4383d0c819085e7c95e7b0be16e |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34a83cec81908aba7afbaea53449 |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:09 p.m.