Triple
T4256747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Qi dynasty |
E95991
|
entity |
| Predicate | hasEraName |
P2938
|
FINISHED |
| Object |
Wuping (later)
Wuping (later) was a posthumously applied era name used during the Northern Qi dynasty in imperial China.
|
E424779
|
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: Wuping (later) | Statement: [Northern Qi dynasty, hasEraName, Wuping (later)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wuping (later) Context triple: [Northern Qi dynasty, hasEraName, Wuping (later)]
-
A.
Chuping
Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
-
B.
Longqing
Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
-
C.
Wulidian
Wulidian is a locality within Beijing’s Fengtai District, known primarily as a residential and commercial urban neighborhood.
-
D.
Wuyuan
Wuyuan is a historic county in northeastern Jiangxi, China, famed for its well-preserved Huizhou-style architecture and picturesque rural landscapes.
-
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: Wuping (later) Triple: [Northern Qi dynasty, hasEraName, Wuping (later)]
Generated description
Wuping (later) was a posthumously applied era name used during the Northern Qi dynasty in imperial China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wuping (later) Target entity description: Wuping (later) was a posthumously applied era name used during the Northern Qi dynasty in imperial China.
-
A.
Chuping
Chuping is a town in the Malaysian state of Perlis, known for its extensive sugarcane plantations and hot climate.
-
B.
Longqing
Longqing was the era name of a brief but notable period of the Ming dynasty in China, associated with the reign of the Longqing Emperor in the 16th century.
-
C.
Wulidian
Wulidian is a locality within Beijing’s Fengtai District, known primarily as a residential and commercial urban neighborhood.
-
D.
Wuyuan
Wuyuan is a historic county in northeastern Jiangxi, China, famed for its well-preserved Huizhou-style architecture and picturesque rural landscapes.
-
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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ec321008190b2cc1aca6ab690c4 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88a68f081909e5bae5b0414f534 |
completed | March 14, 2026, 6:27 p.m. |
| NEDg | Description generation | batch_69b5a94e637881909a20bb1df0cd5768 |
completed | March 14, 2026, 6:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a9d9b28081909d7dc97b02209318 |
completed | March 14, 2026, 6:32 p.m. |
Created at: March 12, 2026, 11:06 p.m.