Triple
T12722412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salyut 1 |
E304017
|
entity |
| Predicate | longestMissionDuration |
P40964
|
FINISHED |
| Object | about 23 days |
—
|
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: about 23 days | Statement: [Salyut 1, longestMissionDuration, about 23 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longestMissionDuration Context triple: [Salyut 1, longestMissionDuration, about 23 days]
-
A.
missionDuration
Indicates the length of time over which a mission or operation takes place from start to finish.
-
B.
timeOfMission
Indicates the specific time or period during which a mission takes place or is scheduled.
-
C.
longestDurationAt
chosen
Indicates that one entity has the greatest length of time associated with a particular state, event, or activity compared to other relevant entities.
-
D.
missionDurationType
Indicates the classification of a mission’s length or time span (e.g., short-term, long-term, extended).
-
E.
missionDurationPlanned
Indicates the length of time that a mission is scheduled or intended to last according to its plan.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:24 p.m.