Triple

T33988656
Position Surface form Disambiguated ID Type / Status
Subject Boehringer Ingelheim E871479 entity
Predicate hasResearchSiteIn P11730 FINISHED
Object Germany E1728 NE 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: Germany | Statement: [Boehringer Ingelheim, hasResearchSiteIn, Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasResearchSiteIn
Context triple: [Boehringer Ingelheim, hasResearchSiteIn, Germany]
  • A. containsResearchStation
    Indicates that one entity geographically includes or hosts a research station within its boundaries.
  • B. hasResearchCentersIn chosen
    Indicates that an entity maintains or operates research centers located within a specified place or region.
  • C. researchSite
    Indicates that a location serves as a site where research or investigative studies are conducted or based.
  • D. hasResearchCenters
    Indicates that an entity possesses, hosts, or is associated with one or more research centers.
  • E. hasEthnographicSite
    Indicates that one entity possesses, contains, or is associated with an ethnographic site used for cultural or anthropological study.
  • F. None of above.

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_69f3499e964c8190b674b03f6f791b4b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037c8ae0248190b7e2ce4bf852c22d completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36ae340ff48190ae882b4779a794db completed June 20, 2026, 3:13 p.m.
PD Predicate disambiguation batch_6a0379f963908190846d232f386fd98f completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:50 a.m.