Triple
T22003346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Matter |
E543386
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | spaceship Raza |
—
|
NE NERFINISHED |
How this triple was built (2 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: spaceship Raza | Statement: [Dark Matter, setting, spaceship Raza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: spaceship Raza Context triple: [Dark Matter, setting, spaceship Raza]
-
A.
spaceship Raza
chosen
The spaceship Raza is the central starship in the science fiction TV series "Dark Matter," serving as both the primary setting and the home of its amnesiac crew as they uncover their mysterious pasts.
-
B.
Spaceship
Spaceship is a 1981 American science-fiction comedy film that parodies space-travel and alien-encounter movies.
-
C.
Spaceship-Aqua
Spaceship-Aqua is the distinctive glass-walled rooftop water feature and observation deck of the Oasis 21 complex in Nagoya, Japan.
-
D.
Rama starship
The Rama starship is a vast, enigmatic cylindrical alien spacecraft featured in Arthur C. Clarke’s Rama series, notable for its hollow interior world and mysterious origin.
-
E.
Axiom (spaceship)
Axiom is the massive, luxurious starliner spaceship in the animated film "WALL-E," where humanity lives in a state of comfortable, technology-dependent exile from Earth.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276cab5c8190ac1236fde7e0394a |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:20 p.m.