Triple
T37442732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ranger lunar probe program |
E930462
|
entity |
| Predicate | failureRateEarlyMissions |
P125842
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Ranger lunar probe program, failureRateEarlyMissions, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: failureRateEarlyMissions Context triple: [Ranger lunar probe program, failureRateEarlyMissions, high]
-
A.
failureRate
chosen
Indicates the proportion or frequency at which a system, component, or process fails over a specified set of operations or time period.
-
B.
failedLaunches
Indicates that one or more attempts to launch something (e.g., a product, project, or mission) did not succeed.
-
C.
numberOfSuccessfulMissions
Indicates the count of missions that have been completed successfully by the referenced entity or within the specified context.
-
D.
missionFailure
Indicates that an attempted mission or operation did not achieve its intended objectives or outcome.
-
E.
failureCauseOnFirstFlight
Indicates that an entity’s first flight resulted in a failure and specifies the cause of that failure.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb92efc5948190a040ba2028bab964 |
completed | May 6, 2026, 7:13 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0b52588190bb29937a43b99b5e |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.