Triple
T15642581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiufen |
E376102
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Keelung Mountain |
E77839
|
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: Keelung Mountain | Statement: [Jiufen, near, Keelung Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keelung Mountain Context triple: [Jiufen, near, Keelung Mountain]
-
A.
Lyulin Mountain
Lyulin Mountain is a small mountain range in western Bulgaria, located just southwest of Sofia and known for its forested hills and hiking trails.
-
B.
Yangmingshan
chosen
Yangmingshan is a volcanic national park area near Taipei in northern Taiwan, known for its hot springs, hiking trails, and scenic mountain landscapes.
-
C.
Songshan
Songshan is one of China's Five Great Mountains, renowned as a sacred Taoist and Buddhist site and home to the historic Shaolin Monastery.
-
D.
Alishan
Alishan is a renowned mountainous scenic area in Taiwan famous for its forest railway, sea of clouds, sunrises, and ancient cypress forests.
-
E.
Fongshan
Fongshan is a district in Kaohsiung, Taiwan, known for its historical military sites and role as a former administrative center.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed23d688190bea996f90989d406 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4d49188190855a895c5844dee0 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:15 a.m.