Triple

T15198920
Position Surface form Disambiguated ID Type / Status
Subject Makurdi Airport E363212 entity
Predicate hasIATACode P2569 FINISHED
Object MDI
MDI is the IATA airport code for Makurdi Airport in Benue State, Nigeria.
 E1142905 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: MDI | Statement: [Makurdi Airport, hasIATACode, MDI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MDI
Context triple: [Makurdi Airport, hasIATACode, MDI]
  • A. MDI
    MDI is a premier Indian business school renowned for its postgraduate management programs and executive education.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MDC
    MDC is the three-letter IATA airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
  • D. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • E. MDT
    MDT is the state agency responsible for planning, building, and maintaining Montana’s transportation infrastructure, including highways and related systems.
  • 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: MDI
Triple: [Makurdi Airport, hasIATACode, MDI]
Generated description
MDI is the IATA airport code for Makurdi Airport in Benue State, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MDI
Target entity description: MDI is the IATA airport code for Makurdi Airport in Benue State, Nigeria.
  • A. MDI
    MDI is a premier Indian business school renowned for its postgraduate management programs and executive education.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MDC
    MDC is the three-letter IATA airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
  • D. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • E. MDT
    MDT is the state agency responsible for planning, building, and maintaining Montana’s transportation infrastructure, including highways and related systems.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b476208190a5119710c518bb1f completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3342624819087be35acadd88136 completed May 9, 2026, 6:24 a.m.
NEDg Description generation batch_69fed516a2008190bab6da27d28289e7 completed May 9, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69fed57659a081909ec777549deff505 completed May 9, 2026, 6:34 a.m.
Created at: April 10, 2026, 3:10 a.m.