Triple

T20812437
Position Surface form Disambiguated ID Type / Status
Subject Minden Hills E512345 entity
Predicate hasHealthServicesCentre P10262 FINISHED
Object Minden
Minden is a small community in Ontario, Canada, serving as a local hub for services, commerce, and administration in the surrounding Minden Hills area.
E1456172 NE FINISHED

How this triple was built (5 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: Minden | Statement: [Minden Hills, hasHealthServicesCentre, Minden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minden
Context triple: [Minden Hills, hasHealthServicesCentre, Minden]
  • A. Minden
    Minden is a historic German city in North Rhine-Westphalia known for its strategic location on the Weser River and its well-preserved old town.
  • B. Minden
    Minden is a small rural town located within the Somerset Region of Queensland, Australia.
  • C. Minden
    Minden is a small city in northwestern Louisiana known for its historic downtown, antebellum homes, and role as the seat of Webster Parish.
  • D. Minde
    Minde is a civil parish in the municipality of Alcanena in central Portugal, known for its traditional culture and karst landscape.
  • E. Minden, Iowa
    Minden, Iowa is a small rural city located in western Iowa within Pottawattamie County.
  • 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: Minden
Triple: [Minden Hills, hasHealthServicesCentre, Minden]
Generated description
Minden is a small community in Ontario, Canada, serving as a local hub for services, commerce, and administration in the surrounding Minden Hills area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Minden
Target entity description: Minden is a small community in Ontario, Canada, serving as a local hub for services, commerce, and administration in the surrounding Minden Hills area.
  • A. Minden
    Minden is a historic German city in North Rhine-Westphalia known for its strategic location on the Weser River and its well-preserved old town.
  • B. Minden
    Minden is a small city in northwestern Louisiana known for its historic downtown, antebellum homes, and role as the seat of Webster Parish.
  • C. Minden
    Minden is a small rural town located within the Somerset Region of Queensland, Australia.
  • D. Minde
    Minde is a civil parish in the municipality of Alcanena in central Portugal, known for its traditional culture and karst landscape.
  • E. Minden, Iowa
    Minden, Iowa is a small rural city located in western Iowa within Pottawattamie County.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHealthServicesCentre
Context triple: [Minden Hills, hasHealthServicesCentre, Minden]
  • A. hasMedicalCenter chosen
    Indicates that an entity possesses, hosts, or is associated with a medical center facility.
  • B. hasHealthcareServicesIn
    Indicates that a healthcare provider or organization offers or operates healthcare services within a specified location or area.
  • C. hasHealthcareInfrastructure
    Indicates that an entity possesses facilities, systems, and resources necessary to deliver healthcare services.
  • D. hasServiceCenter
    Indicates that an entity maintains or is associated with a service center that provides support, repair, or maintenance services.
  • E. hasHealthArea
    Indicates that an entity is associated with, or falls within the scope of, a particular health-related domain or area of concern.
  • F. None of above.

Provenance (6 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_69e0b4cd25088190b48ca9700cd24efc completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2d415688190b66adc44d4df9bbb completed April 21, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0918bc01588190b12722d6cd9b1f4a completed May 17, 2026, 1:24 a.m.
NEDg Description generation batch_6a0919608d148190aaf1abee12fe8935 completed May 17, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0919f58008819097e05a187ed4b3de completed May 17, 2026, 1:29 a.m.
PD Predicate disambiguation batch_69e5c99ca55481908e8d434fa901cfd6 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:40 p.m.