Triple
T4236691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayabusa2 |
E94710
|
entity |
| Predicate | onboardLander |
P37033
|
FINISHED |
| Object |
MASCOT
MASCOT is a small German-French-built lander that accompanied Japan’s Hayabusa2 mission to explore and study the surface of asteroid Ryugu.
|
E423753
|
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: MASCOT | Statement: [Hayabusa2, onboardLander, MASCOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MASCOT Context triple: [Hayabusa2, onboardLander, MASCOT]
-
A.
Mascot
Mascot is an inner-southern suburb of Sydney, Australia, best known for being home to the city's major international airport.
-
B.
Mascot
Mascot is a small unincorporated community in eastern Knox County, Tennessee, known historically for its ties to mining and quarry operations.
-
C.
Mascot Company E-2
Mascot Company E-2 is a Texas A&M University student unit responsible for caring for and escorting the school’s official mascot, Reveille.
-
D.
T.C. (mascot)
T.C. is the anthropomorphic tiger mascot who represents the Canadian Football League’s Hamilton Tiger-Cats at games and team events.
-
E.
Magpet
Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
- 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: MASCOT Triple: [Hayabusa2, onboardLander, MASCOT]
Generated description
MASCOT is a small German-French-built lander that accompanied Japan’s Hayabusa2 mission to explore and study the surface of asteroid Ryugu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MASCOT Target entity description: MASCOT is a small German-French-built lander that accompanied Japan’s Hayabusa2 mission to explore and study the surface of asteroid Ryugu.
-
A.
Mascot
Mascot is a small unincorporated community in eastern Knox County, Tennessee, known historically for its ties to mining and quarry operations.
-
B.
Mascot
Mascot is an inner-southern suburb of Sydney, Australia, best known for being home to the city's major international airport.
-
C.
Mascot Company E-2
Mascot Company E-2 is a Texas A&M University student unit responsible for caring for and escorting the school’s official mascot, Reveille.
-
D.
T.C. (mascot)
T.C. is the anthropomorphic tiger mascot who represents the Canadian Football League’s Hamilton Tiger-Cats at games and team events.
-
E.
Magpet
Magpet is a rural municipality in the province of North Cotabato in the Philippines, known for its mountainous terrain and agricultural communities.
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7d20b48190a404638c68c31026 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a866c2448190aaed83d8da3669b8 |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a8f374fc8190830286dfadc9bdbb |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a99a4a9c8190a7e9bbc119d8d775 |
completed | March 14, 2026, 6:31 p.m. |
Created at: March 12, 2026, 11:05 p.m.