Triple

T3226401
Position Surface form Disambiguated ID Type / Status
Subject Ujae Atoll E67632 entity
Predicate IATACode P418 FINISHED
Object UJE
UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
E337356 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: UJE | Statement: [Ujae Atoll, IATACode, UJE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UJE
Context triple: [Ujae Atoll, IATACode, UJE]
  • A. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • B. UJC
    UJC is the youth wing of Cuba’s Communist Party, responsible for engaging and organizing young people in support of the country’s socialist project.
  • C. Jusos
    Jusos is the youth organization of Germany’s Social Democratic Party (SPD), representing and mobilizing young social democrats in politics and society.
  • D. Uji
    Uji is a historic Japanese city near Kyoto renowned for its high-quality green tea and the UNESCO-listed Byōdō-in Temple.
  • E. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • 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: UJE
Triple: [Ujae Atoll, IATACode, UJE]
Generated description
UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UJE
Target entity description: UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
  • A. UJ
    UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
  • B. UJC
    UJC is the youth wing of Cuba’s Communist Party, responsible for engaging and organizing young people in support of the country’s socialist project.
  • C. Jusos
    Jusos is the youth organization of Germany’s Social Democratic Party (SPD), representing and mobilizing young social democrats in politics and society.
  • D. Uji
    Uji is a historic Japanese city near Kyoto renowned for its high-quality green tea and the UNESCO-listed Byōdō-in Temple.
  • E. UCE
    UCE is a major public university in Quito, Ecuador, recognized as one of the country’s oldest and most important higher education institutions.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb4cd3481908af8a2c9b6c0742d completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26262af848190a918f3a606bfa616 completed March 12, 2026, 6:51 a.m.
NEDg Description generation batch_69b264e25bd48190978a289565854297 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b265cd3fcc8190bc56bbf2de229386 completed March 12, 2026, 7:05 a.m.
Created at: March 8, 2026, 3:08 p.m.