Triple

T2650050
Position Surface form Disambiguated ID Type / Status
Subject Wildhaus E53874 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Grabs
Grabs is a municipality in the canton of St. Gallen in northeastern Switzerland, known for its Alpine setting near the Liechtenstein border.
 E287035 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: Grabs | Statement: [Wildhaus, neighboringMunicipality, Grabs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Grabs
Context triple: [Wildhaus, neighboringMunicipality, Grabs]
  • A. Grab
    Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
  • B. Grabar
    Grabar is the classical form of the Armenian language used in literature, liturgy, and scholarship from antiquity through the Middle Ages.
  • C. Gra
    Gra, an acronym for the Vilna Gaon (Rabbi Elijah ben Solomon Zalman), was an 18th-century Lithuanian Jewish sage renowned for his profound Talmudic, halachic, and Kabbalistic scholarship.
  • D. Sleights
    Sleights is a village in North Yorkshire, England, situated on the edge of the North York Moors near the River Esk.
  • E. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • 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: Grabs
Triple: [Wildhaus, neighboringMunicipality, Grabs]
Generated description
Grabs is a municipality in the canton of St. Gallen in northeastern Switzerland, known for its Alpine setting near the Liechtenstein border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Grabs
Target entity description: Grabs is a municipality in the canton of St. Gallen in northeastern Switzerland, known for its Alpine setting near the Liechtenstein border.
  • A. Grab
    Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
  • B. Grabar
    Grabar is the classical form of the Armenian language used in literature, liturgy, and scholarship from antiquity through the Middle Ages.
  • C. Gra
    Gra, an acronym for the Vilna Gaon (Rabbi Elijah ben Solomon Zalman), was an 18th-century Lithuanian Jewish sage renowned for his profound Talmudic, halachic, and Kabbalistic scholarship.
  • D. Sleights
    Sleights is a village in North Yorkshire, England, situated on the edge of the North York Moors near the River Esk.
  • E. Horseshoe
    Horseshoe is a well-known casino and racetrack brand in the United States, recognized for its gambling, entertainment, and hospitality offerings.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91ca1288190ba302b04bac4c153 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98cc2d9881908556b915a1870c02 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9a0966a88190b76c50ac801438e2 completed March 10, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_69af9dfac8048190be715b844eedf064 completed March 10, 2026, 4:28 a.m.
Created at: March 6, 2026, 9:53 p.m.