Triple

T1219193
Position Surface form Disambiguated ID Type / Status
Subject Virginia Range E26178 entity
Predicate contains P35 FINISHED
Object Geiger Grade
Geiger Grade is a historic mountain pass and roadway in Nevada that connects Reno to Virginia City through the Virginia Range.
 E139915 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: Geiger Grade | Statement: [Virginia Range, contains, Geiger Grade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geiger Grade
Context triple: [Virginia Range, contains, Geiger Grade]
  • A. Gage
    Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
  • B. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • C. Ehrlich
    Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • D. Speer
    Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
  • E. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • 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: Geiger Grade
Triple: [Virginia Range, contains, Geiger Grade]
Generated description
Geiger Grade is a historic mountain pass and roadway in Nevada that connects Reno to Virginia City through the Virginia Range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geiger Grade
Target entity description: Geiger Grade is a historic mountain pass and roadway in Nevada that connects Reno to Virginia City through the Virginia Range.
  • A. Gage
    Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
  • B. Barlow
    Barlow is a surname most notably associated with John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation.
  • C. Ehrlich
    Ehrlich is a German-origin surname borne by numerous notable individuals across fields such as science, medicine, and the arts.
  • D. Speer
    Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
  • E. Redfield
    Redfield is a surname of English origin borne by various notable individuals across fields such as politics, science, and the arts.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be1d55a08190a138b2411a7c4376 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8322425c81909cc206b122416c43 completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac83de917c8190adf5effc6ecebeb4 completed March 7, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69ac84c392a08190854da8405c0252b2 completed March 7, 2026, 8:04 p.m.
Created at: March 1, 2026, 7:46 p.m.