Triple
T38538920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Остров Возрождения |
E924774
|
entity |
| Predicate | наибольшаяАктивностьИспытаний |
P86087
|
FINISHED |
| Object | 1950‑е годы |
—
|
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: 1950‑е годы | Statement: [Остров Возрождения, наибольшаяАктивностьИспытаний, 1950‑е годы]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: наибольшаяАктивностьИспытаний Context triple: [Остров Возрождения, наибольшаяАктивностьИспытаний, 1950‑е годы]
-
A.
hasTimeOfHighActivity
chosen
Indicates that an entity experiences its peak or most intense level of activity during a specified time period.
-
B.
timeOfMostIntenseStudy
Indicates the specific time period during which an entity engages in its highest level of study intensity.
-
C.
longestDurationAt
Indicates that one entity has the greatest length of time associated with a particular state, event, or activity compared to other relevant entities.
-
D.
maximumUsage
Indicates the highest allowable or observed amount, frequency, or extent to which something can be used within a defined context or period.
-
E.
maxCurrent
Indicates the maximum electric current that is allowed to flow through or be drawn by an entity under specified conditions.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd2e930608190b2b2af0d4753d7f0 |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.