Triple

T14428170
Position Surface form Disambiguated ID Type / Status
Subject canton of Schaffhausen E357749 entity
Predicate contains P35 FINISHED
Object Ramsen
Ramsen is a Swiss village and municipality located in the northern canton of Schaffhausen near the German border.
E1099907 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: Ramsen | Statement: [canton of Schaffhausen, contains, Ramsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramsen
Context triple: [canton of Schaffhausen, contains, Ramsen]
  • A. Rommen
    Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
  • B. Rousas
    Rousas is the distinctive given name of R. J. Rushdoony, a prominent Christian theologian and leading figure in the Christian Reconstructionist movement.
  • C. Ranis
    Ranis is the standard English plural form of the word "Rani," which refers to a queen or female ruler in South Asian contexts.
  • D. Rhees
    Rhees is a surname of Welsh origin borne by various notable individuals in fields such as philosophy, education, and public service.
  • E. Jasaan
    Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
  • 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: Ramsen
Triple: [canton of Schaffhausen, contains, Ramsen]
Generated description
Ramsen is a Swiss village and municipality located in the northern canton of Schaffhausen near the German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ramsen
Target entity description: Ramsen is a Swiss village and municipality located in the northern canton of Schaffhausen near the German border.
  • A. Rommen
    Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
  • B. Rousas
    Rousas is the distinctive given name of R. J. Rushdoony, a prominent Christian theologian and leading figure in the Christian Reconstructionist movement.
  • C. Ranis
    Ranis is the standard English plural form of the word "Rani," which refers to a queen or female ruler in South Asian contexts.
  • D. Rhees
    Rhees is a surname of Welsh origin borne by various notable individuals in fields such as philosophy, education, and public service.
  • E. Jasaan
    Jasaan is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, marine resources, and proximity to the urban center of Cagayan de Oro.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91154de881909266ae88d1545685 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcfa1d88190b59cefd3e305f55f completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5d6af9ac8190a37f11b0f8a1db0f completed May 8, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd5df48f7481909764bc4e23c0b04a completed May 8, 2026, 3:52 a.m.
Created at: April 10, 2026, 1:18 a.m.