Triple
T16154686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruifang District |
E392007
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Jiufen |
E376102
|
NE FINISHED |
How this triple was built (2 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: Jiufen | Statement: [Ruifang District, contains, Jiufen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiufen Context triple: [Ruifang District, contains, Jiufen]
-
A.
Jiufen
chosen
Jiufen is a historic hillside town in northern Taiwan famed for its narrow lantern-lit streets, teahouses, and scenic views over the Pacific Ocean.
-
B.
Beitou District
Beitou District is a northern district of Taipei, Taiwan, known for its hot springs, mountainous scenery, and cultural attractions.
-
C.
Xinyi
Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
-
D.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
E.
Chungshan
Chungshan is an older romanization of Zhongshan, a major city in Guangdong Province, China, named in honor of Sun Yat-sen.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 10, 2026, 5:01 a.m.