Triple

T18114749
Position Surface form Disambiguated ID Type / Status
Subject County of Lingen E433575 entity
Predicate hasTown P847 FINISHED
Object Freren
Freren is a small town in Lower Saxony, Germany, known for its rural character and historical roots in the Emsland region.
 E1306524 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: Freren | Statement: [County of Lingen, hasTown, Freren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Freren
Context triple: [County of Lingen, hasTown, Freren]
  • A. Ifremer
    Ifremer is the French national institute for ocean science, conducting marine research and operating major oceanographic infrastructures and data centers.
  • B. Freur
    Freur was a Welsh new wave and synth-pop band from the early 1980s that later evolved into the electronic music group Underworld.
  • C. Ferch
    Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
  • D. Freisa
    Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
  • E. Fröbe
    Fröbe is the surname of German actor Gert Fröbe, best known internationally for portraying the villain Auric Goldfinger in the James Bond film "Goldfinger."
  • 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: Freren
Triple: [County of Lingen, hasTown, Freren]
Generated description
Freren is a small town in Lower Saxony, Germany, known for its rural character and historical roots in the Emsland region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Freren
Target entity description: Freren is a small town in Lower Saxony, Germany, known for its rural character and historical roots in the Emsland region.
  • A. Ifremer
    Ifremer is the French national institute for ocean science, conducting marine research and operating major oceanographic infrastructures and data centers.
  • B. Freur
    Freur was a Welsh new wave and synth-pop band from the early 1980s that later evolved into the electronic music group Underworld.
  • C. Ferch
    Ferch is a small village in the Brandenburg region of Germany, known for its lakeside setting on Schwielowsee and its traditional rural character.
  • D. Freisa
    Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
  • E. Fröbe
    Fröbe is the surname of German actor Gert Fröbe, best known internationally for portraying the villain Auric Goldfinger in the James Bond film "Goldfinger."
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd4c7888190b85c39decdb0333f completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c3e33a88190a2e143265da0da51 completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037d573318819094b6f961a3b748d7 completed May 12, 2026, 7:19 p.m.
NED2 Entity disambiguation (via description) batch_6a037e2613bc8190b5b4abde308a63b1 completed May 12, 2026, 7:23 p.m.
Created at: April 10, 2026, 10:28 a.m.