Triple

T14502898
Position Surface form Disambiguated ID Type / Status
Subject Osubi Airport E340188 entity
Predicate ICAOcode P419 FINISHED
Object DNSU
DNSU is the ICAO airport code assigned to Osubi Airport in Nigeria.
 E1102963 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: DNSU | Statement: [Osubi Airport, ICAOcode, DNSU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DNSU
Context triple: [Osubi Airport, ICAOcode, DNSU]
  • A. DSU
    DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
  • B. NSU
    NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
  • C. NSU
    NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
  • D. NDNU
    NDNU is a private Catholic university in Belmont, California, known for its liberal arts and professional programs and its historic roots as one of the first institutions of higher education for women in the state.
  • E. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • 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: DNSU
Triple: [Osubi Airport, ICAOcode, DNSU]
Generated description
DNSU is the ICAO airport code assigned to Osubi Airport in Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DNSU
Target entity description: DNSU is the ICAO airport code assigned to Osubi Airport in Nigeria.
  • A. DSU
    DSU is the World Trade Organization’s legal framework that sets out the rules and procedures for resolving trade disputes between member countries.
  • B. NSU
    NSU is a private research university in Fort Lauderdale, Florida, known for its programs in health professions, law, business, and education.
  • C. NSU
    NSU is a leading Russian research university located in Novosibirsk, known for its strong programs in science, technology, and mathematics.
  • D. NDNU
    NDNU is a private Catholic university in Belmont, California, known for its liberal arts and professional programs and its historic roots as one of the first institutions of higher education for women in the state.
  • E. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9dba1081909154362b922a2417 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6f24431c81908a25ad81c28da56d completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6ff5a58881909987fa653e58a197 completed May 8, 2026, 5:09 a.m.
Created at: April 10, 2026, 1:21 a.m.