Triple

T15579190
Position Surface form Disambiguated ID Type / Status
Subject Rock Mushroom E374447 entity
Predicate hasJapaneseName P9882 FINISHED
Object ロックキノコ E374447 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: ロックキノコ | Statement: [Rock Mushroom, hasJapaneseName, ロックキノコ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ロックキノコ
Context triple: [Rock Mushroom, hasJapaneseName, ロックキノコ]
  • A. Myko
    Myko is a short, informal given name or nickname derived from the Slavic name Mykola.
  • B. Gomba
    Gomba is a district within the Buganda region of central Uganda, known primarily for its rural communities and agricultural activities.
  • C. Boo Mushroom
    Boo Mushroom is a special power-up in the Mario series that temporarily transforms Mario into a ghostly Boo with the ability to float and pass through certain obstacles.
  • D. Aremanita
    Aremanita is a prominent supporters’ group of the Indonesian football club Arema FC, known for its passionate and organized fan culture.
  • E. Rock Mushroom chosen
    Rock Mushroom is a special power-up in the Super Mario series that transforms Mario into Rock Mario, allowing him to roll into a boulder and smash through enemies and obstacles.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e24064c8190b132c3092877fbfa completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4b3a8881909d41204a0b243461 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.