Triple

T7545809
Position Surface form Disambiguated ID Type / Status
Subject Findel Glacier E178398 entity
Predicate near P350 FINISHED
Object Gant
Gant is a locality in the Swiss Alps situated close to the Findel Glacier, known as a starting point for alpine hiking and mountaineering routes.
E672312 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: Gant | Statement: [Findel Glacier, near, Gant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gant
Context triple: [Findel Glacier, near, Gant]
  • A. Gant
    Gant is a surname most notably associated with American character actor Richard Gant, known for his roles in film and television since the 1980s.
  • B. Gage
    Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
  • C. Tailo
    Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
  • D. Crombie
    Crombie is a Scottish-origin surname borne by various notable individuals in politics, sports, and the arts.
  • E. Topshe
    Topshe is the young cousin and loyal assistant of detective Feluda in Satyajit Ray’s popular Bengali mystery stories.
  • 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: Gant
Triple: [Findel Glacier, near, Gant]
Generated description
Gant is a locality in the Swiss Alps situated close to the Findel Glacier, known as a starting point for alpine hiking and mountaineering routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gant
Target entity description: Gant is a locality in the Swiss Alps situated close to the Findel Glacier, known as a starting point for alpine hiking and mountaineering routes.
  • A. Gant
    Gant is a surname most notably associated with American character actor Richard Gant, known for his roles in film and television since the 1980s.
  • B. Gage
    Gage is a surname of English origin borne by various notable individuals, including historical and contemporary figures.
  • C. Tailo
    Tailo is a widely used Latin-based romanization system for writing Taiwanese Hokkien, employed in education, literature, and language preservation.
  • D. Crombie
    Crombie is a Scottish-origin surname borne by various notable individuals in politics, sports, and the arts.
  • E. Topshe
    Topshe is the young cousin and loyal assistant of detective Feluda in Satyajit Ray’s popular Bengali mystery stories.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89963ec8190ae7b8a2b9508c074 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f21aa5c819085e8d1ecbd9b01e3 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c852da8c048190b2a0696f2e7b65c1 completed March 28, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69c853958b748190b4ecc9797389cc85 completed March 28, 2026, 10:17 p.m.
Created at: March 27, 2026, 3:48 p.m.