Triple

T15465867
Position Surface form Disambiguated ID Type / Status
Subject Soda Jungle E372028 entity
Predicate containsEnemyType P15619 FINISHED
Object Piranha Plant E311693 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: Piranha Plant | Statement: [Soda Jungle, containsEnemyType, Piranha Plant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piranha Plant
Context triple: [Soda Jungle, containsEnemyType, Piranha Plant]
  • A. Piranha Plant chosen
    Piranha Plant is a recurring carnivorous plant enemy in the Super Mario series, typically emerging from pipes to bite at passing characters.
  • B. Bita Plant
    Bita Plant is the protagonist of Claude McKay’s novel "Banana Bottom," a Jamaican woman whose return from an English education forces her to navigate the tensions between colonial influence and her rural Caribbean roots.
  • C. Drymaea
    Drymaea was an ancient Greek city-state located in the region of Phocis, known from classical historical and geographical accounts.
  • D. Jumping Piranha Plant
    Jumping Piranha Plant is an enemy variant in the Super Mario series that springs vertically from pipes or surfaces to attack the player.
  • E. Devil's Tear
    Devil's Tear is a dramatic coastal viewpoint on Nusa Lembongan in Bali, famous for its powerful crashing waves, sea spray, and sunset views over rugged cliffs.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f680cec8190836a5ec841dee224 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3657972481909219bc040f674c02 completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:33 a.m.