Triple

T36210461
Position Surface form Disambiguated ID Type / Status
Subject Imperial City of Buchhorn E1047530 entity
Predicate presentLocationMunicipality P11890 FINISHED
Object Friedrichshafen NE NERFINISHED

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: Friedrichshafen | Statement: [Imperial City of Buchhorn, presentLocationMunicipality, Friedrichshafen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presentLocationMunicipality
Context triple: [Imperial City of Buchhorn, presentLocationMunicipality, Friedrichshafen]
  • A. presentDayMunicipality chosen
    Indicates that one entity is the current-day municipality encompassing or corresponding to the area or jurisdiction of another (typically historical) entity.
  • B. isMunicipalHomeOf
    Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
  • C. primaryLocationCity
    Indicates the city that serves as the main or primary location associated with the subject.
  • D. cityLocation
    Indicates that a city is geographically situated within or associated with a specific larger area or place.
  • E. cityLocatedIn
    Indicates that a city is geographically situated within a specified larger administrative or territorial region.
  • 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_69f76e4214748190a76c986d2a1838c2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd68abf52881909c5a390c362b7c59 completed May 8, 2026, 4:38 a.m.
PD Predicate disambiguation batch_69fd6812d0c88190930d8fa2d4b92490 completed May 8, 2026, 4:35 a.m.
Created at: May 3, 2026, 4:09 p.m.