Triple
T32386630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VLS launch vehicle program |
E827559
|
entity |
| Predicate | numberOfLaunchAttempts |
P180669
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [VLS launch vehicle program, numberOfLaunchAttempts, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLaunchAttempts Context triple: [VLS launch vehicle program, numberOfLaunchAttempts, 3]
-
A.
totalLaunches
Indicates the total number of times a particular entity has been launched or initiated.
-
B.
successfulLaunches
Indicates that one entity has carried out one or more launches that achieved their intended objectives without failure.
-
C.
launchAttemptCount
chosen
Indicates the number of times a launch has been attempted for the associated entity or event.
-
D.
numberOfTakeoffAttempts
Indicates the count of times a takeoff has been attempted for the given entity or event.
-
E.
launchesConductedFor
Indicates that one entity performs or carries out launches on behalf of, or for the benefit of, another entity.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01b130f6808190b86442fb16930e6e |
completed | May 11, 2026, 10:36 a.m. |
| PD | Predicate disambiguation | batch_6a01b023157881909a802e06eced3e2f |
completed | May 11, 2026, 10:32 a.m. |
Created at: May 1, 2026, 12:51 a.m.