Triple

T13189143
Position Surface form Disambiguated ID Type / Status
Subject Township of Conmee E313936 entity
Predicate hasName P744 FINISHED
Object Conmee
Conmee is a small rural township in Northwestern Ontario, Canada, known for its forested landscape and close-knit community.
E1026475 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: Conmee | Statement: [Township of Conmee, hasName, Conmee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conmee
Context triple: [Township of Conmee, hasName, Conmee]
  • A. Kombe
    Kombe is a Bantu language spoken by the Kombe people of coastal Equatorial Guinea and nearby regions, closely related to other Ndowe-area languages.
  • B. Meent
    Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
  • C. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • D. Mayem
    Mayem is a legislative assembly constituency located in the North Goa district of the Indian state of Goa.
  • E. Cembo
    Cembo is a residential and commercial barangay in Makati City, Philippines, known for its dense urban community and proximity to major business districts.
  • 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: Conmee
Triple: [Township of Conmee, hasName, Conmee]
Generated description
Conmee is a small rural township in Northwestern Ontario, Canada, known for its forested landscape and close-knit community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Conmee
Target entity description: Conmee is a small rural township in Northwestern Ontario, Canada, known for its forested landscape and close-knit community.
  • A. Kombe
    Kombe is a Bantu language spoken by the Kombe people of coastal Equatorial Guinea and nearby regions, closely related to other Ndowe-area languages.
  • B. Meent
    Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
  • C. Gongnie
    Gongnie was the personal name of King You of Zhou, the last king of the Western Zhou dynasty in ancient China.
  • D. Mayem
    Mayem is a legislative assembly constituency located in the North Goa district of the Indian state of Goa.
  • E. Cembo
    Cembo is a residential and commercial barangay in Makati City, Philippines, known for its dense urban community and proximity to major business districts.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4d60688190b34e65bbb5d4c152 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5fc4b78819088ad32d74dfb9d0a completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f6ba509c8190a99426ba4506d31f completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f812ae048190907b8def6b0d019c completed May 3, 2026, 7:24 a.m.
Created at: April 9, 2026, 9:15 p.m.