Triple
T20676263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korea Polar Research Institute |
E508166
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object |
Araon
Araon is a South Korean icebreaking research vessel used for scientific expeditions in polar regions.
|
E1443894
|
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: Araon | Statement: [Korea Polar Research Institute, operates, Araon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Araon Context triple: [Korea Polar Research Institute, operates, Araon]
-
A.
Arielle Ship
Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
-
B.
Ulstein
Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
-
C.
Gunnor
Gunnor was a powerful Norman noblewoman and duchess, influential in the politics of Normandy as the wife of Duke Richard I and ancestress of the ducal and English royal lines.
-
D.
MV Arlanza
MV Arlanza was a British ocean liner built by the renowned shipbuilding company Harland and Wolff for passenger and cargo service in the mid-20th century.
-
E.
SS Gotenland
SS Gotenland was a German transport ship used by the Nazis during World War II to deport Jews and other prisoners to concentration and extermination camps.
- 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: Araon Triple: [Korea Polar Research Institute, operates, Araon]
Generated description
Araon is a South Korean icebreaking research vessel used for scientific expeditions in polar regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Araon Target entity description: Araon is a South Korean icebreaking research vessel used for scientific expeditions in polar regions.
-
A.
Arielle Ship
Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
-
B.
Ulstein
Ulstein is a coastal municipality in western Norway known for its maritime industry and shipbuilding.
-
C.
Gunnor
Gunnor was a powerful Norman noblewoman and duchess, influential in the politics of Normandy as the wife of Duke Richard I and ancestress of the ducal and English royal lines.
-
D.
MV Arlanza
MV Arlanza was a British ocean liner built by the renowned shipbuilding company Harland and Wolff for passenger and cargo service in the mid-20th century.
-
E.
SS Gotenland
SS Gotenland was a German transport ship used by the Nazis during World War II to deport Jews and other prisoners to concentration and extermination camps.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cf18b48190be6995e197946517 |
completed | April 20, 2026, 11:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd689f3881908347064014c9a32a |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:44 a.m.