Triple
T3770986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shan Hills |
E83195
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object |
Mount Loilaeng
Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
|
E386387
|
NE FINISHED |
How this triple was built (4 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 Loilaeng | Statement: [Shan Hills, highestPoint, Mount Loilaeng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Loilaeng Context triple: [Shan Hills, highestPoint, Mount Loilaeng]
-
A.
Mount Phousi
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 Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
C.
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.
-
D.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
-
E.
Mount Jagungal
Mount Jagungal is a prominent peak in New South Wales’ Snowy Mountains, known for its remote alpine landscapes and popularity with hikers and backcountry skiers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mount Loilaeng Triple: [Shan Hills, highestPoint, Mount Loilaeng]
Generated description
Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Loilaeng Target entity description: Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
-
A.
Mount Phousi
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 Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
C.
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.
-
D.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
-
E.
Mount Jagungal
Mount Jagungal is a prominent peak in New South Wales’ Snowy Mountains, known for its remote alpine landscapes and popularity with hikers and backcountry skiers.
- F. None of above. chosen
Provenance (5 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc307cf8819090730b5e697bb197 |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5287908819084319b8dfa407635 |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e61c8dc881908e298528b1e42c0c |
completed | March 14, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e686bf2c8190aac01d6c1014c1d4 |
completed | March 14, 2026, 4:39 a.m. |
Created at: March 8, 2026, 3:36 p.m.