Triple
T19745421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonraker space shuttle program |
E474235
|
entity |
| Predicate | settingLocationInFiction |
P81329
|
FINISHED |
| Object | low Earth orbit |
—
|
LITERAL FINISHED |
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: low Earth orbit | Statement: [Moonraker space shuttle program, settingLocationInFiction, low Earth orbit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingLocationInFiction Context triple: [Moonraker space shuttle program, settingLocationInFiction, low Earth orbit]
-
A.
setInFictionalLocation
Indicates that an event, story, or narrative takes place within a fictional or imagined location rather than a real-world setting.
-
B.
setInFictionalOrRealLocation
chosen
Indicates that something (such as a story, event, or scene) takes place within a specified location, whether that location is real or fictional.
-
C.
locationWithinFiction
Indicates that one fictional location is situated inside or contained within another fictional location.
-
D.
positionInFiction
Indicates that one entity holds a specific role, status, or placement within a fictional work or narrative.
-
E.
locatedNearFiction
Indicates that one fictional entity or place is situated close to another within an imagined or narrative context.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529387ac819094e4d66d630e8b98 |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.