Triple

T13120147
Position Surface form Disambiguated ID Type / Status
Subject Giant Land E311698 entity
Predicate featuresEnemyType 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: [Giant Land, featuresEnemyType, Piranha Plant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piranha Plant
Context triple: [Giant Land, featuresEnemyType, 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bce3678819082a7aa1d83f20592 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff07c7948190b4728e0e24b4cd76 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:06 p.m.