Triple

T821773
Position Surface form Disambiguated ID Type / Status
Subject Lillehammer E17762 entity
Predicate twinnedWith P1072 FINISHED
Object Oberhof
Oberhof is a German winter sports town in Thuringia renowned for its biathlon, luge, and cross-country skiing facilities and World Cup events.
E151886 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: Oberhof | Statement: [Lillehammer, twinnedWith, Oberhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberhof
Context triple: [Lillehammer, twinnedWith, Oberhof]
  • A. Garmisch-Partenkirchen
    Garmisch-Partenkirchen is a renowned Bavarian alpine town in southern Germany, famous for skiing, winter sports, and its picturesque mountain scenery.
  • B. Aschersleben
    Aschersleben is a historic town in the German state of Saxony-Anhalt, known as one of the oldest documented cities in central Germany.
  • 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. Wernigerode
    Wernigerode is a picturesque German town in Saxony-Anhalt known for its colorful half-timbered houses, medieval castle, and location on the northern slopes of the Harz Mountains.
  • E. Freiberg
    Freiberg is a historic mining town in eastern Germany renowned for its silver mining heritage and well-preserved medieval architecture.
  • 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: Oberhof
Triple: [Lillehammer, twinnedWith, Oberhof]
Generated description
Oberhof is a German winter sports town in Thuringia renowned for its biathlon, luge, and cross-country skiing facilities and World Cup events.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oberhof
Target entity description: Oberhof is a German winter sports town in Thuringia renowned for its biathlon, luge, and cross-country skiing facilities and World Cup events.
  • A. Garmisch-Partenkirchen
    Garmisch-Partenkirchen is a renowned Bavarian alpine town in southern Germany, famous for skiing, winter sports, and its picturesque mountain scenery.
  • B. Aschersleben
    Aschersleben is a historic town in the German state of Saxony-Anhalt, known as one of the oldest documented cities in central Germany.
  • 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. Wernigerode
    Wernigerode is a picturesque German town in Saxony-Anhalt known for its colorful half-timbered houses, medieval castle, and location on the northern slopes of the Harz Mountains.
  • E. Freiberg
    Freiberg is a historic mining town in eastern Germany renowned for its silver mining heritage and well-preserved medieval architecture.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab7aea38819092a0860ec6e2a033 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf0330b4819089042160ff199336 completed March 8, 2026, 12:12 a.m.
NEDg Description generation batch_69acbf873544819099d3dff98a6b2244 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc06483b08190b5b29f684b83f43f completed March 8, 2026, 12:18 a.m.
Created at: March 1, 2026, 7:38 p.m.