Triple
T33553911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaika |
E859412
|
entity |
| Predicate | missionDurationHoursApprox |
P180282
|
FINISHED |
| Object | about 70 hours |
—
|
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 70 hours | Statement: [Chaika, missionDurationHoursApprox, about 70 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: missionDurationHoursApprox Context triple: [Chaika, missionDurationHoursApprox, about 70 hours]
-
A.
voyageDuration
Indicates the length of time that a voyage or journey lasts from its start to its end.
-
B.
durationDaysApprox
Indicates an approximate length of time, measured in days, for which an event, state, or condition lasts.
-
C.
missionDurationType
Indicates the classification of a mission’s length or time span (e.g., short-term, long-term, extended).
-
D.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
E.
typicalTourDuration
Indicates the usual length of time that a tour normally takes to complete.
- 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_69f3497b2b68819093207971b5e13dc8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: May 1, 2026, 1:40 a.m.