Triple

T16826488
Position Surface form Disambiguated ID Type / Status
Subject Ibadan Airport E409031 entity
Predicate ICAO code P419 FINISHED
Object DNIB
DNIB is the ICAO airport code assigned to Ibadan Airport in Ibadan, Nigeria.
 E1235090 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: DNIB | Statement: [Ibadan Airport, ICAO code, DNIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DNIB
Context triple: [Ibadan Airport, ICAO code, DNIB]
  • A. DNIL
    DNIL is the ICAO airport code assigned to Ilorin International Airport in Ilorin, Nigeria.
  • B. DNI
    DNI is the commonly used acronym for the Director of National Intelligence, the head of the U.S. intelligence community.
  • C. DNI
    The DNI is Peru’s national identity document used to officially identify citizens and residents in legal, administrative, and everyday transactions.
  • D. DIBA
    DIBA is the commonly used acronym for the Diputació de Barcelona, the provincial council that provides support and services to municipalities in the Barcelona region of Spain.
  • E. DNK
    DNK is the IATA airport code for Dnipro International Airport, a commercial airport serving the city of Dnipro in Ukraine.
  • 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: DNIB
Triple: [Ibadan Airport, ICAO code, DNIB]
Generated description
DNIB is the ICAO airport code assigned to Ibadan Airport in Ibadan, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DNIB
Target entity description: DNIB is the ICAO airport code assigned to Ibadan Airport in Ibadan, Nigeria.
  • A. DNIL
    DNIL is the ICAO airport code assigned to Ilorin International Airport in Ilorin, Nigeria.
  • B. DNI
    DNI is the commonly used acronym for the Director of National Intelligence, the head of the U.S. intelligence community.
  • C. DNI
    The DNI is Peru’s national identity document used to officially identify citizens and residents in legal, administrative, and everyday transactions.
  • D. DIBA
    DIBA is the commonly used acronym for the Diputació de Barcelona, the provincial council that provides support and services to municipalities in the Barcelona region of Spain.
  • E. DNK
    DNK is the IATA airport code for Dnipro International Airport, a commercial airport serving the city of Dnipro in Ukraine.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31404c88190a3b2802842ca77eb completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29e48f881908489bd77a9caec97 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b3aafac08190b3e0181780f45392 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:23 a.m.