Triple
T15577475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Shuttle Enterprise |
E374405
|
entity |
| Predicate | neverFlewInSpace |
P119256
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Space Shuttle Enterprise, neverFlewInSpace, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neverFlewInSpace Context triple: [Space Shuttle Enterprise, neverFlewInSpace, true]
-
A.
hasFlownInSpace
Indicates that the subject has traveled beyond Earth's atmosphere into outer space.
-
B.
didNotCarryAstronaut
Indicates that a spacecraft, mission, or vehicle did not transport or include any astronauts.
-
C.
notFlownBy
Indicates that a particular aircraft, flight, or aerial vehicle is explicitly not operated, controlled, or piloted by a specified agent or pilot.
-
D.
aboardSpacecraft
Indicates that one entity is physically present on or inside a spacecraft as an occupant or passenger.
-
E.
firstSpaceflight
Indicates that the subject entity performed, experienced, or was responsible for its earliest occurrence of traveling into outer space.
- F. None of above. chosen
Provenance (4 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69deda817e9881909b0c66fc9056f7d5 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:11 a.m.