Triple

T13219406
Position Surface form Disambiguated ID Type / Status
Subject Sky Land E314709 entity
Predicate hasEnemyType P15619 FINISHED
Object Lakitu E311692 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: Lakitu | Statement: [Sky Land, hasEnemyType, Lakitu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakitu
Context triple: [Sky Land, hasEnemyType, Lakitu]
  • A. Lakitu chosen
    Lakitu is a recurring cloud-riding Koopa in the Super Mario series known for hovering above the player and attacking by throwing Spiny eggs.
  • B. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • C. Lahmu
    Lahmu is a protective Mesopotamian deity or mythological figure, often depicted as a bearded man with a red sash and associated with primordial waters and temple guardianship.
  • D. Niulakita
    Niulakita is the southernmost island of Tuvalu, known as a small, remote coral atoll with a tiny population and traditional significance for Tuvaluan people.
  • E. Yulu
    Yulu is a Central Sudanic language spoken by the Yulu people primarily in parts of South Sudan and the Central African Republic.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf581508190883033f0c961736a completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716c2c15c819096a0eb84e7551f6f completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 9:18 p.m.