Triple
T17944256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laoshan Scenic Area |
E448663
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Laoshan 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: Laoshan Mountain | Statement: [Laoshan Scenic Area, partOf, Laoshan Mountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laoshan Mountain Context triple: [Laoshan Scenic Area, partOf, Laoshan Mountain]
-
A.
Yantai Mountain
Yantai Mountain is a historic coastal scenic area in Yantai, China, known for its lighthouse, old foreign consulates, and panoramic views of the Bohai Sea.
-
B.
Laoshan Scenic Area
chosen
Laoshan Scenic Area is a famous coastal mountain tourist destination in Qingdao, China, known for its granite peaks, Taoist temples, and scenic views of the Yellow Sea.
-
C.
Lingshan Mountain
Lingshan Mountain is the highest peak in Beijing, known for its alpine meadows, diverse flora, and scenic hiking trails.
-
D.
Xiaowutai Mountain
Xiaowutai Mountain is the highest peak of the Taihang mountain range in northern China, known for its rugged terrain and alpine scenery.
-
E.
Siming Mountains
The Siming Mountains are a scenic mountain range in eastern Zhejiang Province, China, known for their lush forests, tea cultivation, and cultural heritage sites.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9819a88190ad4ea7d562cf3f28 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.