Triple
T22310278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baishan |
E551492
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Changbai 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: Changbai Mountain | Statement: [Baishan, near, Changbai Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Changbai Mountain Context triple: [Baishan, near, Changbai Mountain]
-
A.
Mount Yi
Mount Yi is a notable mountain in Shandong Province, China, known for its scenic landscapes and cultural-historical significance.
-
B.
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.
-
C.
Nenggao Mountain
Nenggao Mountain is a prominent high peak in Taiwan known for its challenging hiking routes and scenic alpine landscapes within the Central Mountain Range.
-
D.
Dabajianshan
Dabajianshan is a prominent, steep-sided peak in Taiwan famed for its distinctive block-like summit and significance in indigenous culture and mountaineering.
-
E.
Qianshan Mountains
The Qianshan Mountains are a scenic mountain range in northeastern China known for their forested peaks, Buddhist and Taoist temples, and popular hiking and pilgrimage routes.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574d53148190a1ec07f849e1ae9d |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:42 p.m.