Triple

T5942751
Position Surface form Disambiguated ID Type / Status
Subject Oxford County, Ontario E132206 entity
Predicate containsTownship P847 FINISHED
Object Zorra
Zorra is a rural township in southwestern Ontario, Canada, characterized by its agricultural communities and small-town settlements within Oxford County.
E557080 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: Zorra | Statement: [Oxford County, Ontario, containsTownship, Zorra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zorra
Context triple: [Oxford County, Ontario, containsTownship, Zorra]
  • A. Yanito
    Yanito is an alternative name for Llanito, the unique mixed language spoken in Gibraltar that blends Andalusian Spanish, British English, and other linguistic influences.
  • B. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • C. Barbareta
    Barbareta is a small, privately owned Caribbean island located in Honduras’s Bay Islands archipelago, known for its natural beauty and relative seclusion.
  • D. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • E. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • 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: Zorra
Triple: [Oxford County, Ontario, containsTownship, Zorra]
Generated description
Zorra is a rural township in southwestern Ontario, Canada, characterized by its agricultural communities and small-town settlements within Oxford County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zorra
Target entity description: Zorra is a rural township in southwestern Ontario, Canada, characterized by its agricultural communities and small-town settlements within Oxford County.
  • A. Yanito
    Yanito is an alternative name for Llanito, the unique mixed language spoken in Gibraltar that blends Andalusian Spanish, British English, and other linguistic influences.
  • B. Guabiraba
    Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
  • C. Barbareta
    Barbareta is a small, privately owned Caribbean island located in Honduras’s Bay Islands archipelago, known for its natural beauty and relative seclusion.
  • D. Orsa
    Orsa is a small locality and municipality in central Sweden known for its forests, lakes, and traditional Dalarna culture.
  • E. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0393641d0819081c6c44816d94e4e completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c07f9ab081909fe7727837fa7f7a completed March 23, 2026, 4:24 a.m.
NEDg Description generation batch_69c0c1bf78908190933360b1099b1444 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c240c3ac8190895c621c3d326bfd completed March 23, 2026, 4:32 a.m.
Created at: March 22, 2026, 4:01 p.m.