Triple
T22731714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Van region |
E562149
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Mount Süphan
Mount Süphan is a large dormant stratovolcano in eastern Turkey, rising prominently near Lake Van as one of the country’s highest peaks.
|
E1552224
|
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 Süphan | Statement: [Lake Van region, hasPart, Mount Süphan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Süphan Context triple: [Lake Van region, hasPart, Mount Süphan]
-
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.
Mont Pipet
Mont Pipet is a hill overlooking the town of Vienne in southeastern France, known for its panoramic views and historic chapel.
-
C.
Mount Viets
Mount Viets is a prominent mountain peak in the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
-
D.
Mount Loilaeng
Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
-
E.
Phou Si Hill
Phou Si Hill is a prominent sacred hill in the center of Luang Prabang, Laos, known for its panoramic views and important Buddhist temples and shrines.
- 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 Süphan Triple: [Lake Van region, hasPart, Mount Süphan]
Generated description
Mount Süphan is a large dormant stratovolcano in eastern Turkey, rising prominently near Lake Van as one of the country’s highest peaks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Süphan Target entity description: Mount Süphan is a large dormant stratovolcano in eastern Turkey, rising prominently near Lake Van as one of the country’s highest peaks.
-
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.
Mont Pipet
Mont Pipet is a hill overlooking the town of Vienne in southeastern France, known for its panoramic views and historic chapel.
-
C.
Mount Viets
Mount Viets is a prominent mountain peak in the Sentinel Range of the Ellsworth Mountains in Western Antarctica.
-
D.
Mount Loilaeng
Mount Loilaeng is a prominent peak in eastern Myanmar, recognized as the highest mountain in the Shan Hills range.
-
E.
Phou Si Hill
Phou Si Hill is a prominent sacred hill in the center of Luang Prabang, Laos, known for its panoramic views and important Buddhist temples and shrines.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792de040819093aa904bf751a788 |
completed | April 29, 2026, 3:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fca5f10819083604273aae3fcc3 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b93bc59e481909e2fbee11a29b7a9 |
completed | May 18, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b9488db048190b73ff89215ffeb74 |
completed | May 18, 2026, 10:36 p.m. |
Created at: April 17, 2026, 3:21 p.m.