Triple

T11719603
Position Surface form Disambiguated ID Type / Status
Subject Astor family E278590 entity
Predicate originatedFrom P409 FINISHED
Object Waldorf, Germany
Waldorf, Germany is a small town in the Rhineland-Palatinate region best known as the ancestral home of the prominent American Astor family.
E943389 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: Waldorf, Germany | Statement: [Astor family, originatedFrom, Waldorf, Germany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waldorf, Germany
Context triple: [Astor family, originatedFrom, Waldorf, Germany]
  • A. Weingarten, Germany
    Weingarten, Germany is a town in the state of Baden-Württemberg known for its historic basilica and cultural traditions.
  • B. Linden, Germany
    Linden, Germany is a small town in the state of Hesse known for its historical roots and traditional German character.
  • C. Friedberg, Germany
    Friedberg, Germany is a historic town in the state of Hesse known for its medieval architecture, including a well-preserved castle and old town center.
  • D. Brühl, Germany
    Brühl, Germany is a town in North Rhine-Westphalia known for its UNESCO-listed Augustusburg and Falkenlust palaces and its proximity to Cologne.
  • E. Hesse, Germany
    Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
  • 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: Waldorf, Germany
Triple: [Astor family, originatedFrom, Waldorf, Germany]
Generated description
Waldorf, Germany is a small town in the Rhineland-Palatinate region best known as the ancestral home of the prominent American Astor family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waldorf, Germany
Target entity description: Waldorf, Germany is a small town in the Rhineland-Palatinate region best known as the ancestral home of the prominent American Astor family.
  • A. Weingarten, Germany
    Weingarten, Germany is a town in the state of Baden-Württemberg known for its historic basilica and cultural traditions.
  • B. Linden, Germany
    Linden, Germany is a small town in the state of Hesse known for its historical roots and traditional German character.
  • C. Friedberg, Germany
    Friedberg, Germany is a historic town in the state of Hesse known for its medieval architecture, including a well-preserved castle and old town center.
  • D. Brühl, Germany
    Brühl, Germany is a town in North Rhine-Westphalia known for its UNESCO-listed Augustusburg and Falkenlust palaces and its proximity to Cologne.
  • E. Hesse, Germany
    Hesse, Germany is a federal state in central Germany known for its financial hub Frankfurt am Main, forested landscapes, and historic cities such as Wiesbaden and Kassel.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c26e4c8190ae30d906b4fd4221 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0197d03c08190a5515ffe3cc887ea completed April 28, 2026, 2:20 a.m.
NEDg Description generation batch_69f0319271788190a105828ae7582668 completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05a44dcb88190a0bb57b0c8fef6b9 completed April 28, 2026, 6:57 a.m.
Created at: April 8, 2026, 9:40 p.m.