Triple

T36018805
Position Surface form Disambiguated ID Type / Status
Subject Imperial City of Giengen E1041924 entity
Predicate hasUrbanInstitution P184334 FINISHED
Object city church of Giengen 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: city church of Giengen | Statement: [Imperial City of Giengen, hasUrbanInstitution, city church of Giengen]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanInstitution
Context triple: [Imperial City of Giengen, hasUrbanInstitution, city church of Giengen]
  • A. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • B. hasUrbanSectionsIn
    Indicates that an entity includes or contains sections that are classified as urban within a specified area or region.
  • C. hasUrbanFunction
    Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
  • D. hasUrbanDistrictFunction
    Indicates that an entity serves the administrative or functional role of an urban district within a larger territorial or governance structure.
  • E. hasUrbanRelation
    Indicates a relationship where one entity is connected to another through an urban context, such as city-based location, influence, or interaction.
  • F. None of above. chosen

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_69f76e2b981881908e4e160607fa82eb completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ad15f3b88190b7c9742a734fec5f completed May 3, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69f7ab75387c819091afc3c2128eb903 completed May 3, 2026, 8:09 p.m.
PDg Predicate description generation batch_69f7acad20388190b9b10270ca9bdfbc completed May 3, 2026, 8:14 p.m.
Created at: May 3, 2026, 4:07 p.m.