Triple

T15634599
Position Surface form Disambiguated ID Type / Status
Subject Ferndorfbach E375904 entity
Predicate hasNameComponent P24447 FINISHED
Object Ferndorf
Ferndorf is a locality in Austria known for giving its name to the nearby Ferndorfbach stream.
 E1168063 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: Ferndorf | Statement: [Ferndorfbach, hasNameComponent, Ferndorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ferndorf
Context triple: [Ferndorfbach, hasNameComponent, Ferndorf]
  • A. Waldstadt
    Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
  • B. Fountaindale
    Fountaindale is a semi-rural locality on the Central Coast of New South Wales, Australia, known for its bushland setting and small community atmosphere.
  • C. Lindenwald
    Lindenwald is the historic Kinderhook, New York estate that served as the home and post-presidential residence of Martin Van Buren, the eighth president of the United States.
  • D. Hofstadt
    Hofstadt is the maiden surname of Betty Draper, a central character on the television series "Mad Men."
  • E. Barntrup
    Barntrup is a small town in the Lippe district of North Rhine-Westphalia, Germany, known for its historic architecture and rural surroundings.
  • 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: Ferndorf
Triple: [Ferndorfbach, hasNameComponent, Ferndorf]
Generated description
Ferndorf is a locality in Austria known for giving its name to the nearby Ferndorfbach stream.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ferndorf
Target entity description: Ferndorf is a locality in Austria known for giving its name to the nearby Ferndorfbach stream.
  • A. Waldstadt
    Waldstadt is a district of Karlsruhe in the German state of Baden-Württemberg, characterized by its forested setting and primarily residential layout.
  • B. Fountaindale
    Fountaindale is a semi-rural locality on the Central Coast of New South Wales, Australia, known for its bushland setting and small community atmosphere.
  • C. Lindenwald
    Lindenwald is the historic Kinderhook, New York estate that served as the home and post-presidential residence of Martin Van Buren, the eighth president of the United States.
  • D. Hofstadt
    Hofstadt is the maiden surname of Betty Draper, a central character on the television series "Mad Men."
  • E. Barntrup
    Barntrup is a small town in the Lippe district of North Rhine-Westphalia, Germany, known for its historic architecture and rural surroundings.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb8b4c48190b80fea6877483089 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff606f627081909e6ea230f30c917b completed May 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69ff6136a8c88190a83ad9232a338082 completed May 9, 2026, 4:30 p.m.
Created at: April 10, 2026, 4:14 a.m.