Triple
T8309769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khumbu |
E194560
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Jorsalle
Jorsalle is a small village in Nepal’s Khumbu region that serves as a common stopover for trekkers on the route to Everest Base Camp.
|
E725069
|
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: Jorsalle | Statement: [Khumbu, contains, Jorsalle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jorsalle Context triple: [Khumbu, contains, Jorsalle]
-
A.
Jomsborg
Jomsborg is the legendary Viking stronghold and base of the Jomsvikings, often associated with the area around modern Wolin in the Baltic Sea.
-
B.
Lillomarka
Lillomarka is a forested recreational area in Oslo, Norway, popular for hiking, skiing, and outdoor activities.
-
C.
Danelaw
Danelaw was a historical region of England under Scandinavian control and influence, characterized by Norse law, culture, and settlement during the early Middle Ages.
-
D.
Ursvik
Ursvik is a residential district and urban area within the Stockholm region of Sweden, known for its mix of modern housing developments and proximity to green spaces.
-
E.
Wolfhalden
Wolfhalden is a municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland, known for its rural setting and views over Lake Constance.
- 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: Jorsalle Triple: [Khumbu, contains, Jorsalle]
Generated description
Jorsalle is a small village in Nepal’s Khumbu region that serves as a common stopover for trekkers on the route to Everest Base Camp.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jorsalle Target entity description: Jorsalle is a small village in Nepal’s Khumbu region that serves as a common stopover for trekkers on the route to Everest Base Camp.
-
A.
Jomsborg
Jomsborg is the legendary Viking stronghold and base of the Jomsvikings, often associated with the area around modern Wolin in the Baltic Sea.
-
B.
Lillomarka
Lillomarka is a forested recreational area in Oslo, Norway, popular for hiking, skiing, and outdoor activities.
-
C.
Danelaw
Danelaw was a historical region of England under Scandinavian control and influence, characterized by Norse law, culture, and settlement during the early Middle Ages.
-
D.
Ursvik
Ursvik is a residential district and urban area within the Stockholm region of Sweden, known for its mix of modern housing developments and proximity to green spaces.
-
E.
Wolfhalden
Wolfhalden is a municipality in the canton of Appenzell Ausserrhoden in northeastern Switzerland, known for its rural setting and views over Lake Constance.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95665390819089c8becad018cf51 |
completed | April 1, 2026, 10 p.m. |
| NEDg | Description generation | batch_69cda62070888190b55b3f54d29e28e7 |
completed | April 1, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb21a65d88190a19dd41f95d173c8 |
completed | April 2, 2026, 12:02 a.m. |
Created at: March 30, 2026, 5:54 p.m.