Triple
T6036871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiska Island |
E134443
|
entity |
| Predicate | occupationStart |
P4697
|
FINISHED |
| Object | 1942 |
—
|
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: 1942 | Statement: [Kiska Island, occupationStart, 1942]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationStart Context triple: [Kiska Island, occupationStart, 1942]
-
A.
occupationBegan
chosen
Indicates the point in time when an entity started holding a particular occupation or job.
-
B.
careerStart
Indicates the point in time when an entity begins its professional career or main occupational activity.
-
C.
peakEmployment
Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
-
D.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
-
E.
sponsorOccupation
Indicates that one entity serves as the occupation or professional role of a sponsor associated with another entity.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056cb06508190a90beb4d9d083835 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.