Triple
T18039381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Front Mountain |
E431602
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Huangshan |
—
|
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: Huangshan | Statement: [Front Mountain, partOf, Huangshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huangshan Context triple: [Front Mountain, partOf, Huangshan]
-
A.
Huangshan
chosen
Huangshan is a famous mountain range in eastern China renowned for its dramatic granite peaks, ancient pine trees, hot springs, and sea-of-clouds scenery, and is a UNESCO World Heritage Site.
-
B.
Yuquan Mountain
Yuquan Mountain is a scenic mountain area in China renowned for its natural springs, lush landscapes, and cultural significance.
-
C.
Jiulongshan
Jiulongshan is a subway station in Beijing that serves as part of the city's extensive urban rail transit network.
-
D.
Jiugong Mountain
Jiugong Mountain is a scenic mountainous area in Hubei Province, China, known for its natural beauty, Buddhist temples, and popular hiking routes.
-
E.
Lushan Mountain
Lushan Mountain is a famous scenic and cultural mountain area in southeastern China, renowned for its dramatic cliffs, misty landscapes, and historical significance as a UNESCO World Heritage Site.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be3cbe8c8190ba216eeebfc3cbec |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.