Triple
T17080554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reactor No. 4 |
E414457
|
entity |
| Predicate | safetyTestInvolved |
P125791
|
FINISHED |
| Object | turbine rundown test |
—
|
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: turbine rundown test | Statement: [Reactor No. 4, safetyTestInvolved, turbine rundown test]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safetyTestInvolved Context triple: [Reactor No. 4, safetyTestInvolved, turbine rundown test]
-
A.
safetyDemonstration
Indicates that an entity performs or provides a demonstration intended to explain or show safety procedures, precautions, or protocols to others.
-
B.
safetyRelevant
Indicates that the associated entity, condition, or information has a direct impact on safety or is critical for preventing harm or accidents.
-
C.
safetyResponse
Indicates how an entity reacts or what measures it takes in response to a potential or actual safety-related situation.
-
D.
safetyImplication
Indicates that one entity has a consequence, effect, or relevance for the safety or risk level associated with another entity or situation.
-
E.
safetyOutcome
Indicates the resulting condition or consequence related to safety that arises from an action, event, or situation.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe24a6481908b4596c95220df4a |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:34 a.m.