Triple
T9921452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kongde Ri |
E187804
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Kwangde Ri
Kwangde Ri is a prominent multi-summited mountain massif in the Khumbu region of the Nepal Himalayas, overlooking the town of Namche Bazaar.
|
E829105
|
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: Kwangde Ri | Statement: [Kongde Ri, alsoKnownAs, Kwangde Ri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kwangde Ri Context triple: [Kongde Ri, alsoKnownAs, Kwangde Ri]
-
A.
Nam-gu
Nam-gu is a central administrative district of the metropolitan city of Ulsan in South Korea, known for its residential areas, commercial centers, and proximity to major industrial complexes.
-
B.
Nam-gu
Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
-
C.
Nam-gu
Nam-gu is a coastal district in the southeastern South Korean city of Busan, known for its residential areas, universities, and seaside parks.
-
D.
Hwangnyeongsan
Hwangnyeongsan is a mountain in Busan, South Korea, known for its panoramic city views and popular hiking trails.
-
E.
Yeoncheon
Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
- 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: Kwangde Ri Triple: [Kongde Ri, alsoKnownAs, Kwangde Ri]
Generated description
Kwangde Ri is a prominent multi-summited mountain massif in the Khumbu region of the Nepal Himalayas, overlooking the town of Namche Bazaar.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kwangde Ri Target entity description: Kwangde Ri is a prominent multi-summited mountain massif in the Khumbu region of the Nepal Himalayas, overlooking the town of Namche Bazaar.
-
A.
Nam-gu
Nam-gu is a central administrative district of the metropolitan city of Ulsan in South Korea, known for its residential areas, commercial centers, and proximity to major industrial complexes.
-
B.
Nam-gu
Nam-gu is a coastal district in the southeastern South Korean city of Busan, known for its residential areas, universities, and seaside parks.
-
C.
Nam-gu
Nam-gu is a central urban district of Daegu in South Korea, known for its residential neighborhoods, commercial areas, and educational institutions.
-
D.
Hwangnyeongsan
Hwangnyeongsan is a mountain in Busan, South Korea, known for its panoramic city views and popular hiking trails.
-
E.
Yeoncheon
Yeoncheon is a county in Gyeonggi Province, South Korea, known for its location near the Demilitarized Zone (DMZ) and its significant historical and military sites.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb56abbb88190a21b8b77f1a25b81 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e019f788190a0106b60c8a39efa |
completed | April 5, 2026, 7:23 a.m. |
| NEDg | Description generation | batch_69d20ed2dea481909fd9a9dddac3daf1 |
completed | April 5, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d20fef723881909d8d57548461926f |
completed | April 5, 2026, 7:31 a.m. |
Created at: March 30, 2026, 8:42 p.m.