Triple

T2025189
Position Surface form Disambiguated ID Type / Status
Subject Upper Bavaria E44191 entity
Predicate contains P35 FINISHED
Object Ebersberg
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
 E251965 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: Ebersberg | Statement: [Upper Bavaria, contains, Ebersberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ebersberg
Context triple: [Upper Bavaria, contains, Ebersberg]
  • A. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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. Pöcking
    Pöcking is a municipality in Bavaria, Germany, located on the western shore of Lake Starnberg and known for its affluent residential character.
  • D. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • E. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • 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: Ebersberg
Triple: [Upper Bavaria, contains, Ebersberg]
Generated description
Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ebersberg
Target entity description: Ebersberg is a small Bavarian town and district capital east of Munich, known for its surrounding forest and traditional Upper Bavarian character.
  • A. Hubersdorf
    Hubersdorf is a small municipality located in the canton of Solothurn in northwestern Switzerland.
  • 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. Pöcking
    Pöcking is a municipality in Bavaria, Germany, located on the western shore of Lake Starnberg and known for its affluent residential character.
  • D. Günsberg
    Günsberg is a Swiss municipality located in the canton of Solothurn, known for its scenic setting near the Jura Mountains.
  • E. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8f3faa08190a48ae1355d6e009f completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7ee977c08190a90355f510aa28f2 completed March 9, 2026, 8:03 a.m.
NEDg Description generation batch_69ae7f90d3a88190bf61c6f063b67c06 completed March 9, 2026, 8:06 a.m.
NED2 Entity disambiguation (via description) batch_69ae800868948190a5504969c4cabb7d completed March 9, 2026, 8:08 a.m.
Created at: March 4, 2026, 7:38 p.m.