Triple

T3529122
Position Surface form Disambiguated ID Type / Status
Subject Exhibition Stadium E74614 entity
Predicate tenants P3277 FINISHED
Object Toronto Metros-Croatia
Toronto Metros-Croatia was a professional soccer club based in Toronto that competed in the North American Soccer League during the 1970s.
 E365757 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: Toronto Metros-Croatia | Statement: [Exhibition Stadium, tenants, Toronto Metros-Croatia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toronto Metros-Croatia
Context triple: [Exhibition Stadium, tenants, Toronto Metros-Croatia]
  • A. Osijek
    Osijek is a prominent city in eastern Croatia known as an economic, cultural, and educational center of the Slavonia region.
  • B. Zagreb
    Zagreb is the capital and largest city of Croatia, known as a political, cultural, and economic hub in the Balkans.
  • C. NK Lokomotiva
    NK Lokomotiva is a professional football club from Zagreb, Croatia, that competes in the country’s top league.
  • D. Sveta Nedelja, Croatia
    Sveta Nedelja, Croatia is a small town near Zagreb best known internationally as the home of high-performance electric hypercar manufacturer Bugatti Rimac.
  • E. Rijeka
    Rijeka is a significant Croatian port city on the Adriatic Sea, known for its maritime industry, cultural heritage, and role as a key transport 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: Toronto Metros-Croatia
Triple: [Exhibition Stadium, tenants, Toronto Metros-Croatia]
Generated description
Toronto Metros-Croatia was a professional soccer club based in Toronto that competed in the North American Soccer League during the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toronto Metros-Croatia
Target entity description: Toronto Metros-Croatia was a professional soccer club based in Toronto that competed in the North American Soccer League during the 1970s.
  • A. Osijek
    Osijek is a prominent city in eastern Croatia known as an economic, cultural, and educational center of the Slavonia region.
  • B. Zagreb
    Zagreb is the capital and largest city of Croatia, known as a political, cultural, and economic hub in the Balkans.
  • C. NK Lokomotiva
    NK Lokomotiva is a professional football club from Zagreb, Croatia, that competes in the country’s top league.
  • D. Sveta Nedelja, Croatia
    Sveta Nedelja, Croatia is a small town near Zagreb best known internationally as the home of high-performance electric hypercar manufacturer Bugatti Rimac.
  • E. Rijeka
    Rijeka is a significant Croatian port city on the Adriatic Sea, known for its maritime industry, cultural heritage, and role as a key transport hub.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e93c1988190a9ab7698bf63e8e6 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b380a6b6ec8190be0741cb9535b650 completed March 13, 2026, 3:12 a.m.
NED2 Entity disambiguation (via description) batch_69b3812927e48190a84f3c7fa55d070a completed March 13, 2026, 3:14 a.m.
Created at: March 8, 2026, 3:19 p.m.