Triple

T22793011
Position Surface form Disambiguated ID Type / Status
Subject Alte Hofhaltung E564163 entity
Predicate locatedOn P40 FINISHED
Object Domberg
Domberg is the historic cathedral hill in Bamberg, Germany, known for its medieval architecture and prominent religious and administrative buildings.
E1555147 NE FINISHED

How this triple was built (4 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: Domberg | Statement: [Alte Hofhaltung, locatedOn, Domberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Domberg
Context triple: [Alte Hofhaltung, locatedOn, Domberg]
  • A. Dompe
    Dompe is a town and divisional administrative area in Sri Lanka’s Western Province, situated within the Gampaha District.
  • B. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • C. De Bergoss
    De Bergoss was a historic Dutch carpet and flooring manufacturer that later became part of the company now known as Desso.
  • D. Drongan
    Drongan is a small village in East Ayrshire, Scotland, historically associated with coal mining and rural community life.
  • E. Brobenah
    Brobenah is a rural locality within the Leeton Shire area of New South Wales, Australia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Domberg
Triple: [Alte Hofhaltung, locatedOn, Domberg]
Generated description
Domberg is the historic cathedral hill in Bamberg, Germany, known for its medieval architecture and prominent religious and administrative buildings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Domberg
Target entity description: Domberg is the historic cathedral hill in Bamberg, Germany, known for its medieval architecture and prominent religious and administrative buildings.
  • A. Dompe
    Dompe is a town and divisional administrative area in Sri Lanka’s Western Province, situated within the Gampaha District.
  • B. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • C. De Bergoss
    De Bergoss was a historic Dutch carpet and flooring manufacturer that later became part of the company now known as Desso.
  • D. Drongan
    Drongan is a small village in East Ayrshire, Scotland, historically associated with coal mining and rural community life.
  • E. Brobenah
    Brobenah is a rural locality within the Leeton Shire area of New South Wales, Australia.
  • F. None of above. chosen

Provenance (5 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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd751f081909c7907c96c9906ea completed April 29, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e9214ec8190a67d9d97c74d5064 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba09cd4d48190b00db42dc43db779 completed May 18, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba13332588190a73ab3a52825a1fe completed May 18, 2026, 11:30 p.m.
Created at: April 17, 2026, 3:30 p.m.