Triple
T4065666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GOSAT-2 |
E86316
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Ibuki-2
Ibuki-2 is a Japanese Earth observation satellite dedicated to monitoring greenhouse gases and contributing to climate change research.
|
E410456
|
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: Ibuki-2 | Statement: [GOSAT-2, alternativeName, Ibuki-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibuki-2 Context triple: [GOSAT-2, alternativeName, Ibuki-2]
-
A.
Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
-
B.
Unternehmen Taifun
Unternehmen Taifun, or Operation Typhoon, was Nazi Germany’s 1941 military offensive aimed at capturing Moscow during World War II.
-
C.
Yamagumo
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
-
D.
Shibaura Futo
Shibaura Futo is a waterfront district and pier area in Tokyo’s Minato Ward, known for its views of Tokyo Bay and proximity to the Rainbow Bridge.
-
E.
Zuihō
Zuihō was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in several Pacific War operations before being sunk in the Battle off Cape Engaño in 1944.
- 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: Ibuki-2 Triple: [GOSAT-2, alternativeName, Ibuki-2]
Generated description
Ibuki-2 is a Japanese Earth observation satellite dedicated to monitoring greenhouse gases and contributing to climate change research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ibuki-2 Target entity description: Ibuki-2 is a Japanese Earth observation satellite dedicated to monitoring greenhouse gases and contributing to climate change research.
-
A.
Hōshō
Hōshō was the Imperial Japanese Navy’s pioneering aircraft carrier and the world’s first purpose-built carrier to enter service.
-
B.
Unternehmen Taifun
Unternehmen Taifun, or Operation Typhoon, was Nazi Germany’s 1941 military offensive aimed at capturing Moscow during World War II.
-
C.
Yamagumo
Yamagumo was a Japanese Navy destroyer that served in World War II and was sunk during the Battle of Surigao Strait, part of the larger Battle of Leyte Gulf.
-
D.
Shibaura Futo
Shibaura Futo is a waterfront district and pier area in Tokyo’s Minato Ward, known for its views of Tokyo Bay and proximity to the Rainbow Bridge.
-
E.
Zuihō
Zuihō was a Japanese light aircraft carrier of the Imperial Japanese Navy that served in several Pacific War operations before being sunk in the Battle off Cape Engaño in 1944.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf58d9c8190936e453b0d397cb0 |
completed | March 9, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b17c888190ac4771f2bb4f0d58 |
completed | March 14, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_69b5637e72948190989169b0a46916a8 |
completed | March 14, 2026, 1:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b563fc4cb081908ba0f1a799338a8c |
completed | March 14, 2026, 1:34 p.m. |
Created at: March 9, 2026, 3:38 p.m.