Triple

T10110910
Position Surface form Disambiguated ID Type / Status
Subject New Urban Agenda E218234 entity
Predicate shortName P43 FINISHED
Object NUA
NUA is the commonly used acronym for the New Urban Agenda, a United Nations framework guiding sustainable urban development and city planning worldwide.
E842142 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: NUA | Statement: [New Urban Agenda, shortName, NUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NUA
Context triple: [New Urban Agenda, shortName, NUA]
  • A. NUA
    NUA is an ethical fashion brand known for its socially conscious approach to clothing and its co-founding by activist Ali Hewson.
  • B. NUAN
    NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • C. NIA
    NIA is the ICAO airline designator assigned to Nile Air, a private Egyptian airline based in Cairo.
  • D. NIA
    NIA is India’s premier federal counter-terrorism and national security investigation agency.
  • E. NIA
    NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
  • 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: NUA
Triple: [New Urban Agenda, shortName, NUA]
Generated description
NUA is the commonly used acronym for the New Urban Agenda, a United Nations framework guiding sustainable urban development and city planning worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NUA
Target entity description: NUA is the commonly used acronym for the New Urban Agenda, a United Nations framework guiding sustainable urban development and city planning worldwide.
  • A. NUA
    NUA is an ethical fashion brand known for its socially conscious approach to clothing and its co-founding by activist Ali Hewson.
  • B. NUAN
    NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • C. NIA
    NIA is India’s premier federal counter-terrorism and national security investigation agency.
  • D. NIA
    NIA is the ICAO airline designator assigned to Nile Air, a private Egyptian airline based in Cairo.
  • E. NIA
    NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0cf39908190bba679ace095eefc completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc1805d08190bc39aadf1e84a569 completed April 5, 2026, 8:54 p.m.
NEDg Description generation batch_69d2cd8f0a688190a437b7e2d158c70c completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce422e4c8190b54b94cdfa0c4c98 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:03 p.m.