Triple
T8299047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narvik–Germany iron ore route |
E194297
|
entity |
| Predicate | importanceToGermany |
P41270
|
FINISHED |
| Object | critical for steel production |
—
|
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: critical for steel production | Statement: [Narvik–Germany iron ore route, importanceToGermany, critical for steel production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceToGermany Context triple: [Narvik–Germany iron ore route, importanceToGermany, critical for steel production]
-
A.
strategicGoalOfGermany
Indicates that something is a strategic goal or long-term objective pursued by Germany.
-
B.
relativeImportanceInCountry
chosen
Indicates the comparative significance or priority of something within the context of a specific country.
-
C.
importanceToAllies
Indicates the degree to which an entity is considered valuable, influential, or strategically significant to its allies.
-
D.
countrySignificance
Indicates the degree of importance, influence, or relevance that one country holds in relation to another entity or context.
-
E.
hasCommercialImportance
Indicates that something possesses economic or business value significant enough to impact trade, revenue, or market activity.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7dfb60e48190bfa5de1c1496d3b5 |
completed | March 31, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:53 p.m.