Triple

T4829369
Position Surface form Disambiguated ID Type / Status
Subject School of Fundamental Science and Engineering E107905 entity
Predicate countryISO P208 FINISHED
Object JP E301194 NE FINISHED

How this triple was built (2 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: JP | Statement: [School of Fundamental Science and Engineering, countryISO, JP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JP
Context triple: [School of Fundamental Science and Engineering, countryISO, JP]
  • 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 chosen
    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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc66c488190a49052e32411dc4b completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dd0bf7c8190a11065bb61def18e completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.