Triple
T19970086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viking program |
E480047
|
entity |
| Predicate | firstSuccessfulMarsLanderProgram |
P138076
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Viking program, firstSuccessfulMarsLanderProgram, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSuccessfulMarsLanderProgram Context triple: [Viking program, firstSuccessfulMarsLanderProgram, true]
-
A.
firstSuccessfulFlybyBy
Indicates that the subject is the first spacecraft or mission to successfully perform a flyby of the object specified by the predicate’s value.
-
B.
firstLandingAttemptOn
Indicates that an entity makes its initial attempt to land on another entity or location.
-
C.
firstOperationDateOnMars
Indicates the date on which the very first operation or activity was carried out on Mars.
-
D.
firstUSRoverOnMars
Indicates that the subject is the first U.S. rover to successfully land and operate on Mars.
-
E.
firstSuccessfulDockingWith
Indicates that one entity is the first other entity with which the subject successfully completed a docking operation.
- F. None of above. chosen
Provenance (4 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc89b508190879d29bef546aac8 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.