Triple

T28895354
Position Surface form Disambiguated ID Type / Status
Subject Chaos E732820 entity
Predicate goalInSonicAdventure P67602 FINISHED
Object destroy Station Square LITERAL 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: destroy Station Square | Statement: [Chaos, goalInSonicAdventure, destroy Station Square]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: goalInSonicAdventure
Context triple: [Chaos, goalInSonicAdventure, destroy Station Square]
  • A. goalIn
    Indicates that one entity’s objective, aim, or intended outcome is located within, directed toward, or achieved inside another entity or context.
  • B. gameObjective chosen
    Indicates the primary goal or intended outcome that participants aim to achieve within a game.
  • C. goalType
    Indicates the specific category or nature of a goal associated with an entity or action.
  • D. goalAtEnd
    Indicates that a particular goal or objective holds true or is achieved at the final state or endpoint of a process, sequence, or event.
  • E. goalNumber
    Indicates that an entity is associated with a specific target or objective quantified as a number.
  • F. None of above.

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_69f05b08c2008190ac426a035a2ed66d completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65aa2c5fc8190a74ea45c30e714d4 completed May 2, 2026, 8:12 p.m.
PD Predicate disambiguation batch_69f6576487e081908d802f1caf59c423 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 7:58 a.m.