Triple

T3634746
Position Surface form Disambiguated ID Type / Status
Subject Hallbergmoos E77039 entity
Predicate hasNotableCompanyType P35312 FINISHED
Object aerospace company 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: aerospace company | Statement: [Hallbergmoos, hasNotableCompanyType, aerospace company]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableCompanyType
Context triple: [Hallbergmoos, hasNotableCompanyType, aerospace company]
  • A. hasNotableCompany
    Indicates that an entity is associated with or linked to a company that is considered notable or significant in some context.
  • B. hasParentCompanyType
    Indicates that an entity is associated with a parent company of a specified organizational or business type.
  • C. hasNotableAffiliation
    Indicates that an entity is significantly associated or connected with another entity, such as an organization, group, or institution, in a way that is noteworthy or distinguished.
  • D. hasBusinessTypeAlong
    Indicates that a business or commercial entity located along a route, corridor, or area is associated with a specific type or category of business activity.
  • E. notableBusinessType chosen
    Indicates that an entity is notably associated with, characterized by, or best known for a particular type of business.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30594588190856694d4222c90d8 completed March 8, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69adb842be7c8190b7dfdb7c906f294c completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:24 p.m.