Triple
T12681280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMOTENASHI CubeSat |
E302952
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
OMOTENASHI
OMOTENASHI is a Japanese CubeSat mission developed by JAXA to demonstrate ultra-small spacecraft technologies for lunar exploration and surface landing.
|
E997186
|
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: OMOTENASHI | Statement: [OMOTENASHI CubeSat, acronym, OMOTENASHI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMOTENASHI Context triple: [OMOTENASHI CubeSat, acronym, OMOTENASHI]
-
A.
Kanjizai
Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
-
B.
Nihon Shuwa
Nihon Shuwa is the primary sign language used by the Deaf community in Japan, with its own distinct grammar, vocabulary, and cultural history.
-
C.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
D.
Momote
Momote is a small settlement in Papua New Guinea best known for its nearby Momote Airport on Los Negros Island in Manus Province.
-
E.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
- 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: OMOTENASHI Triple: [OMOTENASHI CubeSat, acronym, OMOTENASHI]
Generated description
OMOTENASHI is a Japanese CubeSat mission developed by JAXA to demonstrate ultra-small spacecraft technologies for lunar exploration and surface landing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OMOTENASHI Target entity description: OMOTENASHI is a Japanese CubeSat mission developed by JAXA to demonstrate ultra-small spacecraft technologies for lunar exploration and surface landing.
-
A.
Kanjizai
Kanjizai is another name for Kannon, the bodhisattva of compassion in Buddhist tradition.
-
B.
Nihon Shuwa
Nihon Shuwa is the primary sign language used by the Deaf community in Japan, with its own distinct grammar, vocabulary, and cultural history.
-
C.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
D.
Momote
Momote is a small settlement in Papua New Guinea best known for its nearby Momote Airport on Los Negros Island in Manus Province.
-
E.
Ma Kai
Ma Kai is a Chinese politician who served as a Vice Premier of the State Council and played a key role in the country’s economic and financial policymaking.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b32dbc81908101fc5f07e26ed3 |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671a54b008190b02f9585d6c6ff77 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 9, 2026, 5:21 p.m.