Triple
T19529824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paektusan |
E488627
|
entity |
| Predicate | otherName |
P39
|
FINISHED |
| Object | Baekdu Mountain |
—
|
NE NERFINISHED |
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: Baekdu Mountain | Statement: [Paektusan, otherName, Baekdu Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baekdu Mountain Context triple: [Paektusan, otherName, Baekdu Mountain]
-
A.
Paektu Mountain
chosen
Paektu Mountain is a volcanic peak on the border of North Korea and China, revered in Korean culture and history and known for its large crater lake, Heaven Lake.
-
B.
Dabajianshan
Dabajianshan is a prominent, steep-sided peak in Taiwan famed for its distinctive block-like summit and significance in indigenous culture and mountaineering.
-
C.
Zhiguli Mountains
The Zhiguli Mountains are a low, forested mountain range along a great bend of the Volga River in Russia, noted for their scenic cliffs and protected natural areas.
-
D.
Mount Yi
Mount Yi is a notable mountain in Shandong Province, China, known for its scenic landscapes and cultural-historical significance.
-
E.
Datun Mountain range
The Datun Mountain range is a volcanic mountain system in northern Taiwan known for its peaks, hot springs, and panoramic views over Taipei and the surrounding region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363dfd6c8190aaa0b374184965bb |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.