Triple

T8837269
Position Surface form Disambiguated ID Type / Status
Subject Heinkel He 274 E210295 entity
Predicate reasonForLimitedUse P81260 FINISHED
Object war situation and production difficulties 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: war situation and production difficulties | Statement: [Heinkel He 274, reasonForLimitedUse, war situation and production difficulties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reasonForLimitedUse
Context triple: [Heinkel He 274, reasonForLimitedUse, war situation and production difficulties]
  • A. reasonForPerformanceLimitation
    Indicates that one factor serves as the cause or explanation for why a performance limitation occurs.
  • B. reasonForLimitedAdoption chosen
    Indicates the factor or explanation that accounts for why something has not been widely or fully adopted.
  • C. reasonForUse
    Indicates that one entity specifies the justification, purpose, or motivation for using another entity.
  • D. restrictedFromUseFor
    Indicates that something is prohibited or limited from being used for a specified purpose, context, or application.
  • E. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
PD Predicate disambiguation batch_69cc5c25b874819084c9ba391703e066 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:48 p.m.