Triple

T8035594
Position Surface form Disambiguated ID Type / Status
Subject Adventureland (Disneyland Paris) E187098 entity
Predicate hasSubarea P747 FINISHED
Object Adventure Isle E708879 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: Adventure Isle | Statement: [Adventureland (Disneyland Paris), hasSubarea, Adventure Isle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adventure Isle
Context triple: [Adventureland (Disneyland Paris), hasSubarea, Adventure Isle]
  • A. Adventure Isle chosen
    Adventure Isle is an immersive, exploration-themed island attraction at Disneyland Paris featuring caves, bridges, and pirate-inspired landscapes for guests to discover.
  • B. Island World
    Island World is a film and television production company known for developing and producing screen content.
  • C. Trinket Island
    Trinket Island is a small island in India’s remote Nicobar archipelago in the eastern Indian Ocean.
  • D. Money Island
    Money Island is a small disputed island within the Paracel Islands archipelago in the South China Sea, known for its strategic location and contested sovereignty.
  • E. Switch Island
    Switch Island is a major road junction in Merseyside, England, where several key routes including motorways and A-roads converge.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef68c6081908727d17238b3522a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63cb39a48190b4d987295b5aa1b2 completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:22 p.m.