Triple
T16154687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruifang District |
E392007
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Shifen
Shifen is a popular village in New Taipei City, Taiwan, best known for its historic railway line, sky lantern tradition, and nearby Shifen Waterfall.
|
E1170376
|
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: Shifen | Statement: [Ruifang District, contains, Shifen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shifen Context triple: [Ruifang District, contains, Shifen]
-
A.
Shifen
Shifen is a historic town in Taiwan’s Pingxi District, best known for its old railway line, sky lantern traditions, and proximity to scenic waterfalls and natural landscapes.
-
B.
Zhanshan
Zhanshan is a Chinese given name that can be borne by individuals such as Zhu Zhanshan.
-
C.
Jinguashi
Jinguashi is a historic former gold and copper mining town in New Taipei, Taiwan, known for its mountainous scenery, Japanese-era relics, and heritage sites like the Gold Ecological Park.
-
D.
Jindian
Jindian, also known as the Golden Hall, is a historic Chinese temple building renowned for its gilded architecture and cultural significance.
-
E.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
- 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: Shifen Triple: [Ruifang District, contains, Shifen]
Generated description
Shifen is a popular village in New Taipei City, Taiwan, best known for its historic railway line, sky lantern tradition, and nearby Shifen Waterfall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shifen Target entity description: Shifen is a popular village in New Taipei City, Taiwan, best known for its historic railway line, sky lantern tradition, and nearby Shifen Waterfall.
-
A.
Shifen
chosen
Shifen is a historic town in Taiwan’s Pingxi District, best known for its old railway line, sky lantern traditions, and proximity to scenic waterfalls and natural landscapes.
-
B.
Zhanshan
Zhanshan is a Chinese given name that can be borne by individuals such as Zhu Zhanshan.
-
C.
Jinguashi
Jinguashi is a historic former gold and copper mining town in New Taipei, Taiwan, known for its mountainous scenery, Japanese-era relics, and heritage sites like the Gold Ecological Park.
-
D.
Jindian
Jindian, also known as the Golden Hall, is a historic Chinese temple building renowned for its gilded architecture and cultural significance.
-
E.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
- F. None of above.
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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5902a08190ad8694955ef6073a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7ae46dc81908cba9152a6080c3a |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff86a556c819096bc008e1ca76e8c |
completed | May 10, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff926120081909f1042bf3a16ea10 |
completed | May 10, 2026, 3:19 a.m. |
Created at: April 10, 2026, 5:01 a.m.