Triple

T18602115
Position Surface form Disambiguated ID Type / Status
Subject Crow Wing County E454642 entity
Predicate hasCity P316 FINISHED
Object Nisswa
Nisswa is a small resort city in central Minnesota known for its lakes, tourism, and outdoor recreation.
 E1339110 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: Nisswa | Statement: [Crow Wing County, hasCity, Nisswa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nisswa
Context triple: [Crow Wing County, hasCity, Nisswa]
  • A. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • B. Nainwa
    Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
  • C. Nakara
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • D. Nyaturu
    Nyaturu is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
  • E. Nisu
    Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
  • 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: Nisswa
Triple: [Crow Wing County, hasCity, Nisswa]
Generated description
Nisswa is a small resort city in central Minnesota known for its lakes, tourism, and outdoor recreation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nisswa
Target entity description: Nisswa is a small resort city in central Minnesota known for its lakes, tourism, and outdoor recreation.
  • A. Nansio
    Nansio is the main town and administrative center of Ukerewe Island in Lake Victoria, Tanzania.
  • B. Nainwa
    Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
  • C. Nakara
    Nakara is a residential suburb in the northern part of Darwin, Northern Territory, Australia, known for its family-friendly streets and proximity to Casuarina’s major shopping and educational facilities.
  • D. Nyaturu
    Nyaturu is a Bantu language spoken primarily by the Nyaturu people in central Tanzania.
  • E. Nisu
    Nisu is a Tibeto-Burman language spoken primarily by a subgroup of the Yi people in southwestern China.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54751d7ec81909efc4867f649002e completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b240dfc81908d038c67d21cf724 completed May 14, 2026, 1:53 a.m.
NEDg Description generation batch_6a052c1af8408190847dc533097b3791 completed May 14, 2026, 1:57 a.m.
NED2 Entity disambiguation (via description) batch_6a052ccec4d081908df62f08eac157d5 completed May 14, 2026, 2 a.m.
Created at: April 10, 2026, 11:45 a.m.