Triple

T6592924
Position Surface form Disambiguated ID Type / Status
Subject Essa E148404 entity
Predicate hasLocality P7943 FINISHED
Object Borden
Borden is a small community in Essa Township, Ontario, best known for the nearby Canadian Forces Base Borden.
 E603478 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: Borden | Statement: [Essa, hasLocality, Borden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borden
Context triple: [Essa, hasLocality, Borden]
  • A. Boland
    Boland is a rugby union region in South Africa whose teams and players are partly represented at the professional level by the Stormers franchise.
  • B. Byfield
    Byfield is a locality within the Shire of Keppel in Queensland, Australia, known for its coastal forests and proximity to national parkland.
  • C. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • D. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • E. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • 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: Borden
Triple: [Essa, hasLocality, Borden]
Generated description
Borden is a small community in Essa Township, Ontario, best known for the nearby Canadian Forces Base Borden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borden
Target entity description: Borden is a small community in Essa Township, Ontario, best known for the nearby Canadian Forces Base Borden.
  • A. Boland
    Boland is a rugby union region in South Africa whose teams and players are partly represented at the professional level by the Stormers franchise.
  • B. Byfield
    Byfield is a locality within the Shire of Keppel in Queensland, Australia, known for its coastal forests and proximity to national parkland.
  • C. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • D. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aecf50ac81909cb9960c8265a7ea completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d57d338c81909e935926d635d2fc completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d677a74881908e174a6f6c7a5497 completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d8486534819080b75cad9cc32276 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:55 p.m.