Triple

T7154672
Position Surface form Disambiguated ID Type / Status
Subject World Nuclear Association E166779 entity
Predicate abbreviation P43 FINISHED
Object WNA
WNA is the acronym for the World Nuclear Association, an international organization that promotes the peaceful use and development of nuclear power worldwide.
 E644901 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: WNA | Statement: [World Nuclear Association, abbreviation, WNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WNA
Context triple: [World Nuclear Association, abbreviation, WNA]
  • A. WN
    WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
  • B. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • C. WNL
    WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
  • D. WAAA
    WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
  • E. WN6
    WN6 is a postcode district in the Wigan area of Greater Manchester, England.
  • 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: WNA
Triple: [World Nuclear Association, abbreviation, WNA]
Generated description
WNA is the acronym for the World Nuclear Association, an international organization that promotes the peaceful use and development of nuclear power worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WNA
Target entity description: WNA is the acronym for the World Nuclear Association, an international organization that promotes the peaceful use and development of nuclear power worldwide.
  • A. WN
    WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
  • B. WN
    WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
  • C. WNL
    WNL is the National Rail station code for Whinhill railway station in Inverclyde, Scotland.
  • D. WAAA
    WAAA is the ICAO airport code for Sultan Hasanuddin International Airport, the main air gateway to Makassar in South Sulawesi, Indonesia.
  • E. WN6
    WN6 is a postcode district in the Wigan area of Greater Manchester, England.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e80c747c8190a017a2b1c3e78a3f completed March 27, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adb0ea288190b7eef76de30a3a1e completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae1bde448190b546d292d213c8c9 completed March 28, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_69c7ae73e1a88190a18488b3155b2542 completed March 28, 2026, 10:33 a.m.
Created at: March 27, 2026, 2:46 p.m.