Triple

T12523910
Position Surface form Disambiguated ID Type / Status
Subject Japan Association of National Universities E299386 entity
Predicate abbreviation P43 FINISHED
Object JANU E299386 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: JANU | Statement: [Japan Association of National Universities, abbreviation, JANU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JANU
Context triple: [Japan Association of National Universities, abbreviation, JANU]
  • A. JANU chosen
    JANU is the Japan Association of National Universities, a representative body that coordinates and advocates for Japan’s national universities.
  • B. JAN
    JAN is the three-letter IATA airport code for Jackson–Medgar Wiley Evers International Airport serving Jackson, Mississippi.
  • C. KJAN
    KJAN is the ICAO airport code for Jackson–Medgar Wiley Evers International Airport, the primary commercial airport serving Jackson, Mississippi.
  • D. Jann
    Jann is a given name most notably associated with Jann Wenner, the co-founder and longtime publisher of Rolling Stone magazine.
  • E. JU
    JU is the two-letter IATA airline designator assigned to Air Serbia, the national flag carrier of Serbia.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545c2aa081908e8a5a94d30e23eb completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc159c88190835fea5c0d9ee799 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.