Triple
T16233639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Heritage Sites in China |
E394048
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Mount Tianmen |
E696170
|
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: Mount Tianmen | Statement: [World Heritage Sites in China, hasPart, Mount Tianmen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Tianmen Context triple: [World Heritage Sites in China, hasPart, Mount Tianmen]
-
A.
Tianmen Mountain
chosen
Tianmen Mountain is a famous scenic mountain in China renowned for its natural arch "Heaven’s Gate," winding cliffside roads, and one of the world’s longest cable car rides.
-
B.
Jingshan
Jingshan is the central artificial hill in Beijing’s Jingshan Park, historically built from excavated palace earth and known for its panoramic views over the Forbidden City.
-
C.
Mount Xiaogaitou
Mount Xiaogaitou is a prominent peak in China’s Longmen Mountains range, noted as its loftiest summit.
-
D.
Longmenshan
Longmenshan is a mountain range in central China that forms part of the scenic landscape and geological setting around the Longmen Grottoes near Luoyang.
-
E.
Yangsan Tower
Yangsan Tower is a prominent observation and landmark tower in Yangsan, South Korea, offering panoramic views of the surrounding city and landscape.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2be2f881908ec2483507cb0b00 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed71f488190bcdc2dcc74e5c5d3 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:04 a.m.