Triple
T18117284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yulin |
E433638
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Beiliu
Beiliu is a county-level city administered by Yulin in Guangxi, China, known for its ceramics industry and regional manufacturing.
|
E1306801
|
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: Beiliu | Statement: [Yulin, hasSubdivision, Beiliu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beiliu Context triple: [Yulin, hasSubdivision, Beiliu]
-
A.
Houtong
Houtong is a small village in New Taipei, Taiwan, best known for its former coal-mining industry and its popular cat-themed tourism.
-
B.
Bocheng
Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
-
C.
Yuanxing
Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
-
D.
Zaiyuan
Zaiyuan was a late Qing dynasty Manchu prince and statesman who played a key role in court politics and was ultimately executed for his involvement in the failed Xinyou Coup of 1861.
-
E.
Tongling
Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
- 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: Beiliu Triple: [Yulin, hasSubdivision, Beiliu]
Generated description
Beiliu is a county-level city administered by Yulin in Guangxi, China, known for its ceramics industry and regional manufacturing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beiliu Target entity description: Beiliu is a county-level city administered by Yulin in Guangxi, China, known for its ceramics industry and regional manufacturing.
-
A.
Houtong
Houtong is a small village in New Taipei, Taiwan, best known for its former coal-mining industry and its popular cat-themed tourism.
-
B.
Bocheng
Bocheng is a Chinese given name most notably borne by the prominent Communist military leader and strategist Liu Bocheng.
-
C.
Yuanxing
Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
-
D.
Zaiyuan
Zaiyuan was a late Qing dynasty Manchu prince and statesman who played a key role in court politics and was ultimately executed for his involvement in the failed Xinyou Coup of 1861.
-
E.
Tongling
Tongling is a prefecture-level city in eastern China known for its rich copper resources and mining industry.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd67a2481909d27a4a49b095f8c |
completed | April 19, 2026, 1:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c40b66c819095d90006fa7ecc37 |
completed | May 12, 2026, 7:15 p.m. |
| NEDg | Description generation | batch_6a037d8d2bc081908c23325f016e0a3d |
completed | May 12, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037e38eee4819090dc733e4aa7299b |
completed | May 12, 2026, 7:23 p.m. |
Created at: April 10, 2026, 10:28 a.m.