Triple

T20098956
Position Surface form Disambiguated ID Type / Status
Subject Zollernalbkreis E496480 entity
Predicate contains P35 FINISHED
Object Haigerloch
Haigerloch is a small historic town in the Zollernalb district of Baden-Württemberg, Germany, known for its picturesque old town and former role in Germany’s World War II nuclear research.
E1410964 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: Haigerloch | Statement: [Zollernalbkreis, contains, Haigerloch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haigerloch
Context triple: [Zollernalbkreis, contains, Haigerloch]
  • A. Hallbergmoos
    Hallbergmoos is a municipality in Bavaria, Germany, known for hosting major aerospace and technology companies near Munich.
  • B. Hünenberg
    Hünenberg is a municipality in the canton of Zug in central Switzerland, known for its residential character and location near Lake Zug.
  • C. Bad Schussenried
    Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
  • D. Hinterzarten
    Hinterzarten is a picturesque resort village in Germany’s Black Forest, known for its ski jumping facilities, hiking trails, and tourism.
  • E. Hohenthann
    Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
  • 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: Haigerloch
Triple: [Zollernalbkreis, contains, Haigerloch]
Generated description
Haigerloch is a small historic town in the Zollernalb district of Baden-Württemberg, Germany, known for its picturesque old town and former role in Germany’s World War II nuclear research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Haigerloch
Target entity description: Haigerloch is a small historic town in the Zollernalb district of Baden-Württemberg, Germany, known for its picturesque old town and former role in Germany’s World War II nuclear research.
  • A. Hallbergmoos
    Hallbergmoos is a municipality in Bavaria, Germany, known for hosting major aerospace and technology companies near Munich.
  • B. Hünenberg
    Hünenberg is a municipality in the canton of Zug in central Switzerland, known for its residential character and location near Lake Zug.
  • C. Bad Schussenried
    Bad Schussenried is a spa town in southern Germany known for its historic monastery complex and scenic location in Upper Swabia.
  • D. Hinterzarten
    Hinterzarten is a picturesque resort village in Germany’s Black Forest, known for its ski jumping facilities, hiking trails, and tourism.
  • E. Hohenthann
    Hohenthann is a rural municipality in Lower Bavaria, Germany, known for its agricultural character and location within the Landshut district.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666e306c81909c0ef617e0f6fccf completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08270edd6481909230ece4487f93fd completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a0827c6a68c8190aed2d531b4fd2030 completed May 16, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a08288d98fc8190a146f43a027682f0 completed May 16, 2026, 8:19 a.m.
Created at: April 11, 2026, 11:26 p.m.