Triple

T19873510
Position Surface form Disambiguated ID Type / Status
Subject WHO-FIC E477579 entity
Predicate includes P1393 FINISHED
Object ICHI NE NERFINISHED

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: ICHI | Statement: [WHO-FIC, includes, ICHI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICHI
Context triple: [WHO-FIC, includes, ICHI]
  • A. ICHI chosen
    ICHI is a standardized global classification system developed by the World Health Organization to systematically code and describe health interventions across different countries and healthcare settings.
  • B. Ichichila
    Ichichila is a musical track featured on the cross-cultural compilation album "A Playlist Without Borders."
  • C. Iki
    Iki is one of the signature illumination themes of Tokyo Skytree, featuring an elegant, cool-toned lighting design inspired by traditional Edo aesthetics.
  • D. Iki
    Iki is a Japanese island city in Nagasaki Prefecture known for its coastal scenery, historical sites, and connection to nearby Kyushu and Korea.
  • E. Ikire
    Ikire is a prominent town in southwestern Nigeria known for its location along major transport routes and its distinctive local delicacies, particularly “dodo Ikire.”
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d92f9c8190b363587ed1881c2c completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.