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
The city church of Giengen is a prominent historic Protestant church in Giengen an der Brenz, Germany, notable for its late Gothic architecture and role as a central landmark of the former Imperial City.
 E2164776 NE FINISHED

How this triple was built (3 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]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: city church of Giengen
Triple: [Imperial City of Giengen, hasUrbanInstitution, city church of Giengen]
Generated description
The city church of Giengen is a prominent historic Protestant church in Giengen an der Brenz, Germany, notable for its late Gothic architecture and role as a central landmark of the former Imperial City.
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 (7 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.
NED1 Entity disambiguation (via context triple) batch_6a38bffe46f08190badbf2a6df84a44f completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c088eb848190a35f4cff5101fea5 completed June 22, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_6a38c12e3d74819084ff442c6aa8d02a completed June 22, 2026, 4:59 a.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.