Triple

T9540538
Position Surface form Disambiguated ID Type / Status
Subject Landshut (district) E230144 entity
Predicate contains P35 FINISHED
Object Ergolding
Ergolding is a market town in Lower Bavaria, Germany, situated just northeast of the city of Landshut along the Isar River.
 E805364 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: Ergolding | Statement: [Landshut (district), contains, Ergolding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ergolding
Context triple: [Landshut (district), contains, Ergolding]
  • A. Ingoldingen
    Ingoldingen is a small municipality in the German state of Baden-Württemberg, known for its rural character and location within the Upper Swabia region.
  • B. Gislaved
    Gislaved is a tire brand known for producing reliable winter and all-season tires, particularly popular in Northern and Central Europe.
  • C. Ehling
    Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
  • D. Kronohagen
    Kronohagen is the Swedish name for Kruununhaka, a historic central district of Helsinki, Finland, known for its old architecture and proximity to key government and cultural institutions.
  • E. Störnstein
    Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • 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: Ergolding
Triple: [Landshut (district), contains, Ergolding]
Generated description
Ergolding is a market town in Lower Bavaria, Germany, situated just northeast of the city of Landshut along the Isar River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ergolding
Target entity description: Ergolding is a market town in Lower Bavaria, Germany, situated just northeast of the city of Landshut along the Isar River.
  • A. Ingoldingen
    Ingoldingen is a small municipality in the German state of Baden-Württemberg, known for its rural character and location within the Upper Swabia region.
  • B. Gislaved
    Gislaved is a tire brand known for producing reliable winter and all-season tires, particularly popular in Northern and Central Europe.
  • C. Ehling
    Ehling is a German-language surname, likely of similar origin and meaning to the related name Ehle.
  • D. Kronohagen
    Kronohagen is the Swedish name for Kruununhaka, a historic central district of Helsinki, Finland, known for its old architecture and proximity to key government and cultural institutions.
  • E. Störnstein
    Störnstein is a small municipality in the Upper Palatinate region of Bavaria, Germany.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e695948190ab107fff38c57de7 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c5da5a081909d646c69d5de8e18 completed April 4, 2026, 5:37 p.m.
NEDg Description generation batch_69d14d0c39c88190a705470104dc7b80 completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14d79065081908a4e619c71e0d359 completed April 4, 2026, 5:42 p.m.
Created at: March 30, 2026, 8:01 p.m.