Triple

T7968965
Position Surface form Disambiguated ID Type / Status
Subject Discoveryland E185276 entity
Predicate hasAttraction P105 FINISHED
Object Autopia E667044 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: Autopia | Statement: [Discoveryland, hasAttraction, Autopia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autopia
Context triple: [Discoveryland, hasAttraction, Autopia]
  • A. Autopia chosen
    Autopia is a long-running Disneyland attraction where guests drive small gas-powered cars along a guided roadway, evoking a futuristic vision of freeway travel.
  • B. Kid Auto Races at Venice
    Kid Auto Races at Venice is a 1914 silent comedy short film notable for introducing Charlie Chaplin’s iconic Tramp character to audiences.
  • C. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • D. Road 4
    Road 4 is a major north–south highway in Israel that runs along the country’s coastal plain and connects numerous key cities and junctions.
  • E. Make Way
    Make Way is a 1961 folk music album by The Kingston Trio that showcases the group’s signature harmonies and helped solidify their popularity during the American folk revival.
  • 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_69ca8297699481909b75a405f01e03af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bd1c9a081909759e5bf5237204e completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0aadcc48190ae35154195099029 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:13 p.m.