Triple
T4233211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Châu Đốc |
E94629
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Mount Sam
Mount Sam is a prominent pilgrimage and tourist mountain in Vietnam’s An Giang Province, known for its temples, pagodas, and panoramic views over the Mekong Delta.
|
E526233
|
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 Sam | Statement: [Châu Đốc, near, Mount Sam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Sam Context triple: [Châu Đốc, near, Mount Sam]
-
A.
Mount Wister
Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
-
B.
Mount Tur
Mount Tur is a sacred mountain in the Islamic tradition, associated with the Prophet Moses and the revelation of divine commandments.
-
C.
Mount Curwood
Mount Curwood is a prominent peak in Michigan’s remote Huron Mountains, known as one of the state’s highest natural elevations.
-
D.
Mount Sannine
Mount Sannine is a prominent mountain in central Lebanon, known for its snow-capped peaks, scenic landscapes, and popularity as a destination for hiking and winter sports.
-
E.
Mount Kling
Mount Kling is a notable mountain peak in South Georgia’s Allardyce Range, part of the rugged, glaciated landscape of the South Atlantic sub-Antarctic islands.
- 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 Sam Triple: [Châu Đốc, near, Mount Sam]
Generated description
Mount Sam is a prominent pilgrimage and tourist mountain in Vietnam’s An Giang Province, known for its temples, pagodas, and panoramic views over the Mekong Delta.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Sam Target entity description: Mount Sam is a prominent pilgrimage and tourist mountain in Vietnam’s An Giang Province, known for its temples, pagodas, and panoramic views over the Mekong Delta.
-
A.
Mount Wister
Mount Wister is a prominent mountain peak in Wyoming’s Teton Range, known for its rugged terrain and challenging climbing routes.
-
B.
Mount Tur
Mount Tur is a sacred mountain in the Islamic tradition, associated with the Prophet Moses and the revelation of divine commandments.
-
C.
Mount Curwood
Mount Curwood is a prominent peak in Michigan’s remote Huron Mountains, known as one of the state’s highest natural elevations.
-
D.
Mount Sannine
Mount Sannine is a prominent mountain in central Lebanon, known for its snow-capped peaks, scenic landscapes, and popularity as a destination for hiking and winter sports.
-
E.
Mount Kling
Mount Kling is a notable mountain peak in South Georgia’s Allardyce Range, part of the rugged, glaciated landscape of the South Atlantic sub-Antarctic islands.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e65720c819087c4022c774ff7c3 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfb12cd0e4819082403092672f9fe8 |
completed | March 22, 2026, 9:06 a.m. |
| NEDg | Description generation | batch_69bfb20bc4a881908cef5d116d2313b5 |
completed | March 22, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bfb26187e08190ae24f958e067f22e |
completed | March 22, 2026, 9:12 a.m. |
Created at: March 12, 2026, 11:05 p.m.