Triple

T657505
Position Surface form Disambiguated ID Type / Status
Subject Lichtenfels E11679 entity
Predicate hasSubdivision P747 FINISHED
Object Roth
Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
E82473 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: Roth | Statement: [Lichtenfels, hasSubdivision, Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roth
Context triple: [Lichtenfels, hasSubdivision, Roth]
  • A. Rubin
    Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • B. Barron
    Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
  • C. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. Galt
    Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
  • 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: Roth
Triple: [Lichtenfels, hasSubdivision, Roth]
Generated description
Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roth
Target entity description: Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
  • A. Rubin
    Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
  • B. Barron
    Barron is the youngest son of former U.S. President Donald Trump and former First Lady Melania Trump.
  • C. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • D. Blaustein
    Blaustein is a municipality in the Alb-Donau district of Baden-Württemberg in southern Germany, situated near the city of Ulm.
  • E. Galt
    Galt is a small city in Sacramento County, California, known for its residential communities and proximity to the Sacramento metropolitan area.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa55e048190bd9913c6c31772d0 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c39453208190928b61ad090e7e23 completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4ef88388190b9746f599cf88a35 completed March 2, 2026, 5:12 p.m.
NED2 Entity disambiguation (via description) batch_69a5ce75386081909d780586dcdf0e5a completed March 2, 2026, 5:52 p.m.
Created at: March 1, 2026, 7:36 p.m.