Triple

T4580052
Position Surface form Disambiguated ID Type / Status
Subject University of Nigeria, Nsukka E101831 entity
Predicate shortName P43 FINISHED
Object UNN
UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
 E453989 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: UNN | Statement: [University of Nigeria, Nsukka, shortName, UNN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UNN
Context triple: [University of Nigeria, Nsukka, shortName, UNN]
  • A. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • B. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • C. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • D. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • E. unm
    unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
  • 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: UNN
Triple: [University of Nigeria, Nsukka, shortName, UNN]
Generated description
UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UNN
Target entity description: UNN is the commonly used acronym for the University of Nigeria, Nsukka, one of Nigeria’s leading federal universities.
  • A. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • B. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • C. NU
    NU is the two-letter ISO 3166 country code for Niue, a small island nation in the South Pacific Ocean.
  • D. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • E. unm
    unm is the ISO 639-3 language code for Unami, an Algonquian language traditionally spoken by the Lenape people of the mid-Atlantic region of the United States.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd58e534708190a1ba9c5a29b3774d completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3f532dc81909b6c464defada832 completed March 20, 2026, 11:10 p.m.
NEDg Description generation batch_69bdd70276748190b519fd23d195bf56 completed March 20, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69bdd759be90819088098a8b2353aa27 completed March 20, 2026, 11:25 p.m.
Created at: March 20, 2026, 1:10 p.m.