Triple

T2045108
Position Surface form Disambiguated ID Type / Status
Subject Lower Bavaria E45432 entity
Predicate containsCity P294 FINISHED
Object Pfarrkirchen
Pfarrkirchen is a small Bavarian town in southeastern Germany known as the administrative center of the Rottal-Inn district.
 E258497 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: Pfarrkirchen | Statement: [Lower Bavaria, containsCity, Pfarrkirchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pfarrkirchen
Context triple: [Lower Bavaria, containsCity, Pfarrkirchen]
  • A. Pöcking
    Pöcking is a municipality in Bavaria, Germany, located on the western shore of Lake Starnberg and known for its affluent residential character.
  • B. Altötting
    Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
  • C. Mühldorf am Inn
    Mühldorf am Inn is a historic Bavarian town in southeastern Germany situated along the River Inn.
  • D. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • E. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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: Pfarrkirchen
Triple: [Lower Bavaria, containsCity, Pfarrkirchen]
Generated description
Pfarrkirchen is a small Bavarian town in southeastern Germany known as the administrative center of the Rottal-Inn district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pfarrkirchen
Target entity description: Pfarrkirchen is a small Bavarian town in southeastern Germany known as the administrative center of the Rottal-Inn district.
  • A. Pöcking
    Pöcking is a municipality in Bavaria, Germany, located on the western shore of Lake Starnberg and known for its affluent residential character.
  • B. Altötting
    Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
  • C. Mühldorf am Inn
    Mühldorf am Inn is a historic Bavarian town in southeastern Germany situated along the River Inn.
  • D. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • E. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9728f688190939d7c4df524f9b4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95efea5c8190a8a63e36cf3247e7 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae9694c390819095b3e935224902d3 completed March 9, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae9a5b2a04819091b102c51a5b2af4 completed March 9, 2026, 10 a.m.
Created at: March 4, 2026, 7:39 p.m.