Triple
T16492947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fermium-252 |
E400609
|
entity |
| Predicate | wasFirstProducedBy |
P123746
|
FINISHED |
| Object | neutron irradiation of plutonium or heavier actinides |
—
|
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: neutron irradiation of plutonium or heavier actinides | Statement: [fermium-252, wasFirstProducedBy, neutron irradiation of plutonium or heavier actinides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFirstProducedBy Context triple: [fermium-252, wasFirstProducedBy, neutron irradiation of plutonium or heavier actinides]
-
A.
firstMassProductionBy
Indicates that the subject is the first entity to mass-produce the object or technology referenced.
-
B.
wasFirstCommercializedBy
Indicates that the subject was initially brought to market or made commercially available by the object.
-
C.
firstProducedFor
Indicates that something was initially created, manufactured, or developed specifically for a particular recipient, purpose, or context.
-
D.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
E.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e30cb648190a52cb32896c4ac5a |
completed | April 18, 2026, 7:09 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:13 a.m.