Triple
T16154691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruifang District |
E392007
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sandiaoling
Sandiaoling is a small rural village in New Taipei, Taiwan, known for its scenic waterfalls, hiking trails, and railway stop along the Pingxi Line.
|
E1199752
|
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: Sandiaoling | Statement: [Ruifang District, contains, Sandiaoling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandiaoling Context triple: [Ruifang District, contains, Sandiaoling]
-
A.
Liwan Dusun
Liwan Dusun is a sub-ethnic group of the Kadazan-Dusun people of Sabah, Malaysia, with its own distinct dialect and cultural traditions.
-
B.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
C.
Xinle
Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
-
D.
Su’ao
Su’ao is a coastal township in northeastern Taiwan known for its cold springs, fishing harbor, and role as a transport hub in Yilan County.
-
E.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
- 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: Sandiaoling Triple: [Ruifang District, contains, Sandiaoling]
Generated description
Sandiaoling is a small rural village in New Taipei, Taiwan, known for its scenic waterfalls, hiking trails, and railway stop along the Pingxi Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sandiaoling Target entity description: Sandiaoling is a small rural village in New Taipei, Taiwan, known for its scenic waterfalls, hiking trails, and railway stop along the Pingxi Line.
-
A.
Liwan Dusun
Liwan Dusun is a sub-ethnic group of the Kadazan-Dusun people of Sabah, Malaysia, with its own distinct dialect and cultural traditions.
-
B.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
C.
Xinle
Xinle is a county-level city in Hebei Province, northern China, known for its location near the Hutuo River and its role within the Shijiazhuang metropolitan area.
-
D.
Su’ao
Su’ao is a coastal township in northeastern Taiwan known for its cold springs, fishing harbor, and role as a transport hub in Yilan County.
-
E.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
- 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_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_69fffef4f96c8190aec3e1411c1d9471 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a0003206b8481909f51c3d4ba706329 |
completed | May 10, 2026, 4:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0003b2d9c88190933959b107668227 |
completed | May 10, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:01 a.m.