Triple
T16484279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flamanville 3 nuclear power plant |
E400397
|
entity |
| Predicate | projectChallenges |
P12940
|
FINISHED |
| Object | welding defects in reactor components |
—
|
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: welding defects in reactor components | Statement: [Flamanville 3 nuclear power plant, projectChallenges, welding defects in reactor components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectChallenges Context triple: [Flamanville 3 nuclear power plant, projectChallenges, welding defects in reactor components]
-
A.
developmentChallenges
Indicates difficulties, obstacles, or constraints that hinder or complicate the process of developing or improving something.
-
B.
challengesModel
Indicates that one entity questions, disputes, or puts to the test the validity, performance, or assumptions of another entity’s model.
-
C.
constructionChallenges
chosen
Indicates difficulties, obstacles, or complications encountered during the process of constructing or building something.
-
D.
currentChallenges
Indicates the difficulties or obstacles an entity is presently facing or dealing with.
-
E.
challengesView
Indicates that one entity questions, disputes, or seeks to overturn another entity’s perspective, decision, or interpretation.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e05bf448190947b9da15fd29d0a |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:13 a.m.