Triple

T5930654
Position Surface form Disambiguated ID Type / Status
Subject Japan women's national football team E131927 entity
Predicate fifaTrigramme P6278 FINISHED
Object JPN
JPN is the official FIFA trigramme used to represent the Japan women's national football team in international competitions and records.
 E556016 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: JPN | Statement: [Japan women's national football team, fifaTrigramme, JPN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JPN
Context triple: [Japan women's national football team, fifaTrigramme, JPN]
  • A. JP
    JP is the popular abbreviation for Jayaprakash Narayan, an Indian independence activist and political leader known for spearheading the 1970s "Total Revolution" movement against corruption and authoritarianism.
  • B. JP
    JP is the two-letter IATA airline designator that was assigned to the former Slovenian national carrier Adria Airways.
  • C. JA
    JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
  • D. JA
    JA is the IATA airline designator assigned to JetSMART, a South American low-cost carrier.
  • E. Japanese
    Japanese is the national language of Japan, a Japonic language known for its complex writing system combining kanji and kana.
  • 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: JPN
Triple: [Japan women's national football team, fifaTrigramme, JPN]
Generated description
JPN is the official FIFA trigramme used to represent the Japan women's national football team in international competitions and records.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JPN
Target entity description: JPN is the official FIFA trigramme used to represent the Japan women's national football team in international competitions and records.
  • A. JP
    JP is the popular abbreviation for Jayaprakash Narayan, an Indian independence activist and political leader known for spearheading the 1970s "Total Revolution" movement against corruption and authoritarianism.
  • B. JP
    JP is the two-letter IATA airline designator that was assigned to the former Slovenian national carrier Adria Airways.
  • C. JA
    JA is the commonly used abbreviation for the Japan Academy, an organization that honors and promotes outstanding academic achievements in Japan.
  • D. JA
    JA is the IATA airline designator assigned to JetSMART, a South American low-cost carrier.
  • E. Japanese
    Japanese is the national language of Japan, a Japonic language known for its complex writing system combining kanji and kana.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389c734081908e8a35f43e0104f6 completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c05eb4b8819097f203e1db94ae8f completed March 23, 2026, 4:23 a.m.
NEDg Description generation batch_69c0c1db6d548190ba4be143aa7c7905 completed March 23, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0c2bdd44881909aa85589d31e771a completed March 23, 2026, 4:34 a.m.
Created at: March 22, 2026, 4 p.m.