Triple
T35769229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utirik Atoll |
E1034111
|
entity |
| Predicate | dateOfFalloutExposure |
P43102
|
FINISHED |
| Object | 1954 |
—
|
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: 1954 | Statement: [Utirik Atoll, dateOfFalloutExposure, 1954]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFalloutExposure Context triple: [Utirik Atoll, dateOfFalloutExposure, 1954]
-
A.
dateOfMajorFalloutExposure
chosen
Indicates the specific date on which a subject experienced significant exposure to radioactive fallout.
-
B.
fallout
Indicates the negative consequences or residual effects that result from a prior event, action, or conflict.
-
C.
FalloutPublicationYear
Indicates the year in which a given Fallout-related work was officially published or released.
-
D.
falloutType
Indicates the specific kind or category of fallout that results from an event, action, or condition.
-
E.
nuclearTestExposure
Indicates that an entity has been subjected to or affected by exposure to nuclear weapons testing or related radioactive fallout.
- 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_69f76e13edd081909101629aa829c4ad |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd7fdafbe881908a31fcb407af2c34 |
completed | May 8, 2026, 6:16 a.m. |
| PD | Predicate disambiguation | batch_69fd7ef0ea908190b5d83f71565bdb1c |
completed | May 8, 2026, 6:13 a.m. |
Created at: May 3, 2026, 4:06 p.m.