Triple

T7976433
Position Surface form Disambiguated ID Type / Status
Subject Saverne E185457 entity
Predicate locatedAt P40 FINISHED
Object Saverne Gap
Saverne Gap is a narrow, strategically important pass through the Vosges Mountains in northeastern France that connects the Alsace plain with the Lorraine plateau.
E703128 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: Saverne Gap | Statement: [Saverne, locatedAt, Saverne Gap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saverne Gap
Context triple: [Saverne, locatedAt, Saverne Gap]
  • A. Chalamain Gap
    Chalamain Gap is a rocky mountain pass in the Cairngorms of Scotland, known as a popular but rough route used by hikers ascending nearby peaks such as Braeriach.
  • B. Stepps Gap
    Stepps Gap is a mountain pass or col located within the Black Mountains range.
  • C. Lupkow Pass
    Lupkow Pass is a mountain pass in the Carpathians on the border between Poland and Slovakia, historically used as a key transit route through the range.
  • D. Cove Gap
    Cove Gap is a small unincorporated community in Pennsylvania best known as the birthplace of U.S. President James Buchanan.
  • E. Orofure Pass
    Orofure Pass is a scenic mountain pass in Hokkaido, Japan, known for its panoramic views, heavy winter snowfall, and access to nearby hot spring resorts.
  • 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: Saverne Gap
Triple: [Saverne, locatedAt, Saverne Gap]
Generated description
Saverne Gap is a narrow, strategically important pass through the Vosges Mountains in northeastern France that connects the Alsace plain with the Lorraine plateau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Saverne Gap
Target entity description: Saverne Gap is a narrow, strategically important pass through the Vosges Mountains in northeastern France that connects the Alsace plain with the Lorraine plateau.
  • A. Chalamain Gap
    Chalamain Gap is a rocky mountain pass in the Cairngorms of Scotland, known as a popular but rough route used by hikers ascending nearby peaks such as Braeriach.
  • B. Stepps Gap
    Stepps Gap is a mountain pass or col located within the Black Mountains range.
  • C. Lupkow Pass
    Lupkow Pass is a mountain pass in the Carpathians on the border between Poland and Slovakia, historically used as a key transit route through the range.
  • D. Cove Gap
    Cove Gap is a small unincorporated community in Pennsylvania best known as the birthplace of U.S. President James Buchanan.
  • E. Orofure Pass
    Orofure Pass is a scenic mountain pass in Hokkaido, Japan, known for its panoramic views, heavy winter snowfall, and access to nearby hot spring resorts.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf56f688190902b95afe42635ec completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0cc09a081909cb92cd4864ef50d completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43d29f8819080f7d729c4f28c75 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc32e2e1c48190b86218bff9af99f5 completed March 31, 2026, 8:47 p.m.
Created at: March 30, 2026, 5:14 p.m.