Triple
T17426575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 162173 Ryugu |
E423752
|
entity |
| Predicate | hasLander |
P103170
|
FINISHED |
| Object | MASCOT |
—
|
NE NERFINISHED |
How this triple was built (3 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: [162173 Ryugu, hasLander, MASCOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MASCOT Context triple: [162173 Ryugu, hasLander, MASCOT]
-
A.
MASCOT
chosen
MASCOT is a small German-French-built lander that accompanied Japan’s Hayabusa2 mission to explore and study the surface of asteroid Ryugu.
-
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
Mascot is a small unincorporated community in eastern Knox County, Tennessee, known historically for its ties to mining and quarry operations.
-
D.
Mascots
Mascots is a 2016 mockumentary comedy film directed by Christopher Guest that follows the quirky competitors in a global mascot competition.
-
E.
Mascot Corporal
Mascot Corporal is a Texas A&M University student position responsible for caring for and presenting the school’s official mascot, Reveille, at events and ceremonies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLander Context triple: [162173 Ryugu, hasLander, MASCOT]
-
A.
hasLandingSystem
Indicates that an entity is equipped with or utilizes a particular landing system for performing landings.
-
B.
carriesLander
chosen
Indicates that one entity transports or holds a lander as its payload or cargo.
-
C.
hasMainLandingSite
Indicates that an entity has a primary or principal location where it arrives, lands, or makes contact.
-
D.
instrumentsOnLander
Indicates that specific instruments are physically mounted on, attached to, or carried by a lander.
-
E.
hasLandings
Indicates that an entity has one or more associated landing events or landing locations.
- F. None of above.
Provenance (3 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fcbf54819091babed0b9b05716 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.