Triple

T22473281
Position Surface form Disambiguated ID Type / Status
Subject Ansfelden E555559 entity
Predicate hasSubdivision P747 FINISHED
Object Haiderhof
Haiderhof is a locality or neighborhood that forms part of the municipality of Ansfelden in Upper Austria.
E1539365 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: Haiderhof | Statement: [Ansfelden, hasSubdivision, Haiderhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haiderhof
Context triple: [Ansfelden, hasSubdivision, Haiderhof]
  • A. Heiderhof
    Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • B. Jagdhof
    Jagdhof is a notable local landmark associated with the area of Linn, likely known for its historical or architectural significance.
  • C. Hartmannshof
    Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
  • D. Heimhof
    Heimhof is a notable residential building in Vienna, Austria, designed in the early 20th century by architect Hubert Gessner in a distinctive Viennese Secessionist style.
  • E. Scheibenhof
    Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
  • 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: Haiderhof
Triple: [Ansfelden, hasSubdivision, Haiderhof]
Generated description
Haiderhof is a locality or neighborhood that forms part of the municipality of Ansfelden in Upper Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haiderhof
Target entity description: Haiderhof is a locality or neighborhood that forms part of the municipality of Ansfelden in Upper Austria.
  • A. Heiderhof
    Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • B. Jagdhof
    Jagdhof is a notable local landmark associated with the area of Linn, likely known for its historical or architectural significance.
  • C. Hartmannshof
    Hartmannshof is a locality in Bavaria, Germany, that functions as an outer terminus on the Nuremberg S-Bahn commuter rail network.
  • D. Heimhof
    Heimhof is a notable residential building in Vienna, Austria, designed in the early 20th century by architect Hubert Gessner in a distinctive Viennese Secessionist style.
  • E. Scheibenhof
    Scheibenhof is a locality or district that forms part of the city of Krems an der Donau in Lower Austria.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be2034c81909d1263f2ed114b46 completed April 29, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b125b26008190a232bac277b253c5 completed May 18, 2026, 1:21 p.m.
NEDg Description generation batch_6a0b14b7acac819090bfd6144df84be6 completed May 18, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_6a0b154f7e0c8190b0ca64d582982d62 completed May 18, 2026, 1:34 p.m.
Created at: April 16, 2026, 8:49 p.m.