Triple

T21729683
Position Surface form Disambiguated ID Type / Status
Subject Colossus E536371 entity
Predicate wasWorldFirst P138901 FINISHED
Object first roller coaster with ten inversions 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: first roller coaster with ten inversions | Statement: [Colossus, wasWorldFirst, first roller coaster with ten inversions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasWorldFirst
Context triple: [Colossus, wasWorldFirst, first roller coaster with ten inversions]
  • A. worldFirst chosen
    Indicates that an entity is the first in the world to achieve, create, or perform a particular thing or action.
  • B. wasWorldRecordFor
    Indicates that something held the status of being the best performance or highest achievement ever recorded for a particular event, category, or metric at a given time.
  • C. resultedInFirstWorldTitleFor
    Indicates that one entity’s achievement, event, or action caused another entity to obtain its first world championship title.
  • D. wasFirst
    Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
  • E. firstToAchieve
    Indicates that one entity was the earliest or initial entity to accomplish or attain a specified goal, status, or outcome before any others.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd04c9648190922e8fa7c74ac1b5 completed April 28, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e6969725bc81908e7ad19619ba2688 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:48 p.m.