Triple
T13076658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Palace Museum |
E329591
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Mount Phousi |
E331725
|
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 Phousi | Statement: [Royal Palace Museum, near, Mount Phousi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Phousi Context triple: [Royal Palace Museum, near, Mount Phousi]
-
A.
Mount Phousi
chosen
Mount Phousi is a prominent hill in the center of Luang Prabang, Laos, known for its Buddhist shrines and panoramic views of the city and Mekong River.
-
B.
Mount Loilaeng
Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
-
C.
Mount Popomanaseu
Mount Popomanaseu is the tallest mountain on the island of Guadalcanal in the Solomon Islands, known for its rugged terrain and tropical rainforest environment.
-
D.
Mount Yengo
Mount Yengo is a flat-topped mountain in New South Wales, Australia, that holds great cultural and spiritual significance for Aboriginal peoples and forms a prominent feature of Yengo National Park.
-
E.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98117209081908272021013df2222 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27058dc8190a64e1a929f296619 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:01 p.m.