Triple
T14840602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xizhi District |
E348951
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Xizhi City
Xizhi City was a former administrative city in northern Taiwan that has since been reorganized as Xizhi District of New Taipei City.
|
E1126579
|
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: Xizhi City | Statement: [Xizhi District, formerName, Xizhi City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xizhi City Context triple: [Xizhi District, formerName, Xizhi City]
-
A.
Changge City
Changge City is a county-level city in central China's Henan Province, administered by the prefecture-level city of Xuchang and known for its manufacturing and agricultural industries.
-
B.
Sanhe City
Sanhe City is a county-level city in Hebei Province, China, located near Beijing and forming part of the Beijing–Tianjin–Hebei metropolitan region.
-
C.
Shenmu City
Shenmu City is a county-level city in northern Shaanxi Province, China, known for its rich coal resources and location on the Loess Plateau near the border with Inner Mongolia.
-
D.
Licheng
Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
-
E.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
- 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: Xizhi City Triple: [Xizhi District, formerName, Xizhi City]
Generated description
Xizhi City was a former administrative city in northern Taiwan that has since been reorganized as Xizhi District of New Taipei City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xizhi City Target entity description: Xizhi City was a former administrative city in northern Taiwan that has since been reorganized as Xizhi District of New Taipei City.
-
A.
Changge City
Changge City is a county-level city in central China's Henan Province, administered by the prefecture-level city of Xuchang and known for its manufacturing and agricultural industries.
-
B.
Sanhe City
Sanhe City is a county-level city in Hebei Province, China, located near Beijing and forming part of the Beijing–Tianjin–Hebei metropolitan region.
-
C.
Shenmu City
Shenmu City is a county-level city in northern Shaanxi Province, China, known for its rich coal resources and location on the Loess Plateau near the border with Inner Mongolia.
-
D.
Licheng
Licheng is the courtesy name of the Daoguang Emperor, a Qing dynasty ruler of China in the early 19th century.
-
E.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a6b4388190b83bdecb217b9b18 |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe75c6a1c4819095b7b1217d2cdfb6 |
completed | May 8, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe761cbe888190834dd27292f16126 |
completed | May 8, 2026, 11:47 p.m. |
Created at: April 10, 2026, 1:53 a.m.