Triple
T36118418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salyut 6 |
E1044672
|
entity |
| Predicate | longestSingleStayDuration |
P40964
|
FINISHED |
| Object | approximately 185 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: approximately 185 days | Statement: [Salyut 6, longestSingleStayDuration, approximately 185 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longestSingleStayDuration Context triple: [Salyut 6, longestSingleStayDuration, approximately 185 days]
-
A.
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.
-
B.
venueResidencyLengthNights
Indicates the number of nights an entity stays or is scheduled to stay at a particular venue.
-
C.
lengthOfStay
Indicates the duration of time that an entity remains at or within a particular place, service, or state.
-
D.
agingTimeMaximum
Indicates the maximum duration for which something is allowed or expected to age before it is considered expired, mature, or no longer valid.
-
E.
stayDurationFocus
Indicates the length of time an entity remains at or engaged with a particular place, activity, or context as the primary focus.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.