Triple
T1032877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASA Space Flight Medal |
E22292
|
entity |
| Predicate | appliesToMissionType |
P1129
|
FINISHED |
| Object | crewed spaceflight missions |
—
|
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: crewed spaceflight missions | Statement: [NASA Space Flight Medal, appliesToMissionType, crewed spaceflight missions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToMissionType Context triple: [NASA Space Flight Medal, appliesToMissionType, crewed spaceflight missions]
-
A.
supportsMissionType
Indicates that one entity is capable of handling, enabling, or being compatible with a specified type of mission.
-
B.
typeOfMission
Indicates the specific category or nature of a mission that an entity is associated with or engaged in.
-
C.
appliesTo
chosen
Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
-
D.
appliesToFeature
Indicates that something (such as a rule, constraint, or configuration) is relevant to, or governs, a specific feature.
-
E.
ArtemisIMissionType
Indicates the specific category or type of mission within the Artemis I program (e.g., test flight, demonstration, or operational phase).
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b728ad3481909cf1430349cb9bba |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.