Triple

T4249988
Position Surface form Disambiguated ID Type / Status
Subject Susten Pass E95824 entity
Predicate near P350 FINISHED
Object Gadmen
Gadmen is a small Swiss mountain village in the canton of Bern, known for its alpine scenery and proximity to major passes and hiking routes in the Bernese Oberland.
 E423278 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: Gadmen | Statement: [Susten Pass, near, Gadmen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gadmen
Context triple: [Susten Pass, near, Gadmen]
  • A. G Men
    G Men is a 1935 American crime film starring James Cagney as a law school graduate who joins the FBI to battle organized crime.
  • B. Mackmen
    The Mackmen was a nickname for the early 20th-century Philadelphia Athletics baseball team, derived from their legendary manager Connie Mack.
  • C. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • D. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • E. Gongman
    Gongman is the iconic figure who strikes a large gong in the opening logo sequence of the Rank Organisation’s films.
  • 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: Gadmen
Triple: [Susten Pass, near, Gadmen]
Generated description
Gadmen is a small Swiss mountain village in the canton of Bern, known for its alpine scenery and proximity to major passes and hiking routes in the Bernese Oberland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gadmen
Target entity description: Gadmen is a small Swiss mountain village in the canton of Bern, known for its alpine scenery and proximity to major passes and hiking routes in the Bernese Oberland.
  • A. G Men
    G Men is a 1935 American crime film starring James Cagney as a law school graduate who joins the FBI to battle organized crime.
  • B. Mackmen
    The Mackmen was a nickname for the early 20th-century Philadelphia Athletics baseball team, derived from their legendary manager Connie Mack.
  • C. Hooperman
    Hooperman is an American television dramedy series from the late 1980s starring John Ritter as a San Francisco police inspector balancing his personal and professional life.
  • D. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • E. Gongman
    Gongman is the iconic figure who strikes a large gong in the opening logo sequence of the Rank Organisation’s films.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9f11008190a0021e0ad730a79d completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87fdca481908bd2c80b10d0dd3d completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a917d4a88190864441f95706964e completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5a96967ec8190aa86e735808211fd completed March 14, 2026, 6:31 p.m.
Created at: March 12, 2026, 11:06 p.m.