Triple
T31793210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing Commercial Crew program |
E811523
|
entity |
| Predicate | firstUncrewedOrbitalFlightResult |
P34098
|
FINISHED |
| Object | partial failure |
—
|
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: partial failure | Statement: [Boeing Commercial Crew program, firstUncrewedOrbitalFlightResult, partial failure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUncrewedOrbitalFlightResult Context triple: [Boeing Commercial Crew program, firstUncrewedOrbitalFlightResult, partial failure]
-
A.
firstOrbitalMissionOutcome
chosen
Indicates the result or status achieved by an entity’s first orbital mission.
-
B.
firstSuccessfulOrbitalPayload
Indicates that the subject entity successfully delivered its first payload into orbit.
-
C.
firstUncrewedTestFlightMission
Indicates that the subject is the first mission in which a spacecraft or launch system is tested in flight without any crew onboard.
-
D.
firstOrbitalSuccessPayloadType
Indicates the type or category of payload carried on an entity’s first successful orbital mission.
-
E.
firstUncrewedTestFlight
Indicates the event of conducting the initial test flight of a vehicle or system without any crew onboard.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:39 p.m.