Triple

T19409252
Position Surface form Disambiguated ID Type / Status
Subject Reinhold Platz E485546 entity
Predicate familyName P18 FINISHED
Object Platz
Platz is a German-language surname borne by various individuals, including figures in aviation and other fields.
E1373522 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: Platz | Statement: [Reinhold Platz, familyName, Platz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Platz
Context triple: [Reinhold Platz, familyName, Platz]
  • A. Alter Platz
    Alter Platz is the historic main square in Klagenfurt, Austria, known for its traditional architecture, shops, and cafés.
  • B. Domplatz
    Domplatz is the central cathedral square in Salzburg’s historic Old Town, known for its baroque architecture and role as a focal point for religious and cultural events.
  • C. Domplatz
    Domplatz is a historic square in Frankfurt am Main, Germany, located by the city’s cathedral and known as a central site of urban and cultural life.
  • D. Neuer Platz
    Neuer Platz is the central main square of Klagenfurt, Austria, known for its historic buildings and prominent Lindwurm (dragon) fountain.
  • E. Roncalliplatz
    Roncalliplatz is a central public square in Cologne, Germany, situated by Cologne Cathedral and home to major cultural sites and events.
  • 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: Platz
Triple: [Reinhold Platz, familyName, Platz]
Generated description
Platz is a German-language surname borne by various individuals, including figures in aviation and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Platz
Target entity description: Platz is a German-language surname borne by various individuals, including figures in aviation and other fields.
  • A. Alter Platz
    Alter Platz is the historic main square in Klagenfurt, Austria, known for its traditional architecture, shops, and cafés.
  • B. Domplatz
    Domplatz is the central cathedral square in Salzburg’s historic Old Town, known for its baroque architecture and role as a focal point for religious and cultural events.
  • C. Domplatz
    Domplatz is a historic square in Frankfurt am Main, Germany, located by the city’s cathedral and known as a central site of urban and cultural life.
  • D. Neuer Platz
    Neuer Platz is the central main square of Klagenfurt, Austria, known for its historic buildings and prominent Lindwurm (dragon) fountain.
  • E. Roncalliplatz
    Roncalliplatz is a central public square in Cologne, Germany, situated by Cologne Cathedral and home to major cultural sites and events.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af3eaa081909e9537a2c57dc6c1 completed April 20, 2026, 1:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b975ff481908bda24af31e53b99 completed May 15, 2026, 2:20 p.m.
NEDg Description generation batch_6a072d2d9934819080955555decd7950 completed May 15, 2026, 2:26 p.m.
NED2 Entity disambiguation (via description) batch_6a072db6f1c881909e93378d262ca4ff completed May 15, 2026, 2:29 p.m.
Created at: April 10, 2026, 1:37 p.m.