Triple

T2507526
Position Surface form Disambiguated ID Type / Status
Subject Sepp Maier E52618 entity
Predicate placeOfBirth P1 FINISHED
Object Metten
Metten is a small Bavarian town in Germany, known for its historic Benedictine abbey and traditional Bavarian character.
 E272044 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: Metten | Statement: [Sepp Maier, placeOfBirth, Metten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Metten
Context triple: [Sepp Maier, placeOfBirth, Metten]
  • A. Nijmegen
    Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
  • B. Maassluis
    Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
  • C. Gorinchem
    Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
  • D. Machelen
    Machelen is a municipality in the Belgian province of Flemish Brabant, located just northeast of Brussels and known for its mix of residential areas and business zones near the capital.
  • E. Nieuwkoop
    Nieuwkoop is a rural municipality and town in South Holland, Netherlands, known for its lakes, peatlands, and nature reserves.
  • 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: Metten
Triple: [Sepp Maier, placeOfBirth, Metten]
Generated description
Metten is a small Bavarian town in Germany, known for its historic Benedictine abbey and traditional Bavarian character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Metten
Target entity description: Metten is a small Bavarian town in Germany, known for its historic Benedictine abbey and traditional Bavarian character.
  • A. Nijmegen
    Nijmegen is a historic Dutch city near the German border that played a crucial strategic role during World War II, particularly in the Allied advance in 1944.
  • B. Maassluis
    Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
  • C. Gorinchem
    Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
  • D. Machelen
    Machelen is a municipality in the Belgian province of Flemish Brabant, located just northeast of Brussels and known for its mix of residential areas and business zones near the capital.
  • E. Nieuwkoop
    Nieuwkoop is a rural municipality and town in South Holland, Netherlands, known for its lakes, peatlands, and nature reserves.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1eb3be481908fa7c6b8f1c78209 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa7dbb88190815087416b207b54 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af203f7ca08190ba781891bd879192 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20cd13a88190a35bc1b74ad088ef completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:46 p.m.