Triple

T18711240
Position Surface form Disambiguated ID Type / Status
Subject Kanmon E457519 entity
Predicate hasPart P35 FINISHED
Object Moji 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: Moji | Statement: [Kanmon, hasPart, Moji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moji
Context triple: [Kanmon, hasPart, Moji]
  • A. Moji chosen
    Moji was a former city in Fukuoka Prefecture, Japan, that later became a ward of Kitakyushu and is known for its historic port and preserved retro district.
  • B. Mokae
    Mokae is a surname most notably associated with Zakes Mokae, the South African-born actor and Tony Award winner recognized for his work in theater and film.
  • C. Tutamoe
    Tutamoe is a mountain peak in New Zealand, known as the highest point in the Tutamoe Range in Northland.
  • D. Mogis
    Mogis is the surname of Mike Mogis, an American musician and record producer best known for his work with the indie rock band Bright Eyes and the Saddle Creek Records scene.
  • E. Moiliili
    Moiliili is a historic, culturally diverse neighborhood in urban Honolulu on the island of Oahu, known for its local shops, eateries, and proximity to the University of Hawaiʻi at Mānoa.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671b34508190b6180f7d6ad50a58 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.