Triple

T9540596
Position Surface form Disambiguated ID Type / Status
Subject Straubing-Bogen E230145 entity
Predicate contains P35 FINISHED
Object Falkenfels
Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of Germany.
 E808428 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: Falkenfels | Statement: [Straubing-Bogen, contains, Falkenfels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Falkenfels
Context triple: [Straubing-Bogen, contains, Falkenfels]
  • A. Marienberg
    Marienberg is a historic mining town in Saxony, Germany, known for its Renaissance-era planned layout and location in the central Ore Mountains.
  • B. Hagetmau
    Hagetmau is a small town in southwestern France’s Landes department, known for its rural character and traditional Gascon culture.
  • C. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • D. Bogenfels
    Bogenfels is a famous natural rock arch located on the Atlantic coast of Namibia, known for its dramatic span over the shoreline in the Sperrgebiet (Diamond Area).
  • E. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • 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: Falkenfels
Triple: [Straubing-Bogen, contains, Falkenfels]
Generated description
Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Falkenfels
Target entity description: Falkenfels is a small municipality in the district of Straubing-Bogen in the Bavarian region of Germany.
  • A. Marienberg
    Marienberg is a historic mining town in Saxony, Germany, known for its Renaissance-era planned layout and location in the central Ore Mountains.
  • B. Hagetmau
    Hagetmau is a small town in southwestern France’s Landes department, known for its rural character and traditional Gascon culture.
  • C. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • D. Bogenfels
    Bogenfels is a famous natural rock arch located on the Atlantic coast of Namibia, known for its dramatic span over the shoreline in the Sperrgebiet (Diamond Area).
  • E. Willenberg
    Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
  • 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_69d161355e2c819099c8e6b974f97608 completed April 4, 2026, 7:06 p.m.
NEDg Description generation batch_69d16230a99481909d82d03babe6729a completed April 4, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69d16321aba88190a7e8359dbaa5362b completed April 4, 2026, 7:14 p.m.
Created at: March 30, 2026, 8:01 p.m.