Triple

T13632426
Position Surface form Disambiguated ID Type / Status
Subject Chris Ohiri E325754 entity
Predicate commemoratedBy P500 FINISHED
Object Chris Ohiri Stadium
Chris Ohiri Stadium is a sports venue in Nigeria named in honor of the late Nigerian footballer Chris Ohiri.
E1055039 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: Chris Ohiri Stadium | Statement: [Chris Ohiri, commemoratedBy, Chris Ohiri Stadium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Ohiri Stadium
Context triple: [Chris Ohiri, commemoratedBy, Chris Ohiri Stadium]
  • A. Caesar Uyesaka Stadium
    Caesar Uyesaka Stadium is a college baseball stadium at the University of California, Santa Barbara, serving as the home field for the UCSB Gauchos baseball team.
  • B. Onikan Stadium
    Onikan Stadium is a historic multi-purpose sports arena located on Lagos Island in Lagos, Nigeria.
  • C. Completely-Suzuki Stadium
    Completely-Suzuki Stadium is a football ground in Cheltenham, England, best known as the home venue of Cheltenham Town F.C.
  • D. Setsoto Stadium
    Setsoto Stadium is a multi-purpose national sports venue in Maseru, Lesotho, primarily used for football matches and major public events.
  • E. Ohiri Field
    Ohiri Field is an outdoor soccer stadium on Harvard University's campus that serves as the primary home pitch for the school's varsity soccer programs.
  • 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: Chris Ohiri Stadium
Triple: [Chris Ohiri, commemoratedBy, Chris Ohiri Stadium]
Generated description
Chris Ohiri Stadium is a sports venue in Nigeria named in honor of the late Nigerian footballer Chris Ohiri.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chris Ohiri Stadium
Target entity description: Chris Ohiri Stadium is a sports venue in Nigeria named in honor of the late Nigerian footballer Chris Ohiri.
  • A. Caesar Uyesaka Stadium
    Caesar Uyesaka Stadium is a college baseball stadium at the University of California, Santa Barbara, serving as the home field for the UCSB Gauchos baseball team.
  • B. Onikan Stadium
    Onikan Stadium is a historic multi-purpose sports arena located on Lagos Island in Lagos, Nigeria.
  • C. Completely-Suzuki Stadium
    Completely-Suzuki Stadium is a football ground in Cheltenham, England, best known as the home venue of Cheltenham Town F.C.
  • D. Setsoto Stadium
    Setsoto Stadium is a multi-purpose national sports venue in Maseru, Lesotho, primarily used for football matches and major public events.
  • E. Ohiri Field
    Ohiri Field is an outdoor soccer stadium on Harvard University's campus that serves as the primary home pitch for the school's varsity soccer programs.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794307c288190a0f4629bf5e2b0d9 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79655d5f08190a3cbf3e12e2ffa67 completed May 3, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69f7972a1cf48190a1d435227414967a completed May 3, 2026, 6:42 p.m.
Created at: April 9, 2026, 9:51 p.m.