Triple
T27343317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enterprise (OV-101) |
E684167
|
entity |
| Predicate | spaceflights |
P48934
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Enterprise (OV-101), spaceflights, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceflights Context triple: [Enterprise (OV-101), spaceflights, 0]
-
A.
spaceFlightsCount
chosen
Indicates the number of space flights that an entity has undertaken or been involved in.
-
B.
spaceflight
Indicates the undertaking of travel or transportation beyond Earth’s atmosphere, typically via spacecraft operating in outer space.
-
C.
spaceflightType
Indicates the specific category or mode of spaceflight associated with an entity, such as orbital, suborbital, interplanetary, or other mission types.
-
D.
spaceMissionsFlown
Indicates the number or specific instances of space missions that an entity has participated in or carried out.
-
E.
spaceShuttleFlight
Indicates a specific mission or journey undertaken by a space shuttle between launch and landing.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 11:44 a.m.