Triple

T12020107
Position Surface form Disambiguated ID Type / Status
Subject Mini-Europe E286125 entity
Predicate hasLandmarkModel P22581 FINISHED
Object Eiffel Tower E1351 NE FINISHED

How this triple was built (3 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: Eiffel Tower | Statement: [Mini-Europe, hasLandmarkModel, Eiffel Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eiffel Tower
Context triple: [Mini-Europe, hasLandmarkModel, Eiffel Tower]
  • A. Eiffel Tower chosen
    The Eiffel Tower is a wrought-iron lattice tower in Paris, France, and one of the most recognizable landmarks and symbols of the country.
  • B. Eiffel
    Eiffel is a French surname most famously associated with engineer Gustave Eiffel, designer of the Eiffel Tower in Paris.
  • C. Eiffel
    Eiffel is an object-oriented programming language designed by Bertrand Meyer, known for its emphasis on software correctness through the Design by Contract methodology.
  • D. Iron Tower
    The Iron Tower is a historic medieval watchtower and former city gate located in Mainz, Germany.
  • E. 58 Tour Eiffel
    58 Tour Eiffel is a contemporary French restaurant located on the first floor of the Eiffel Tower, offering panoramic views of Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLandmarkModel
Context triple: [Mini-Europe, hasLandmarkModel, Eiffel Tower]
  • A. isLandmarkFor
    Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
  • B. isLocalLandmark
    Indicates that something is recognized as a notable or significant landmark within a specific local area or community.
  • C. includesLandmark chosen
    Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
  • D. hasLandmarkArea
    Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
  • E. hasCentralLandmark
    Indicates that a place or area contains a primary or defining landmark located at or near its center.
  • F. None of above.

Provenance (4 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b62cad8819092beb72c604a4762 completed May 1, 2026, 11:15 a.m.
PD Predicate disambiguation batch_69d902b6ebbc8190b13c44a61c6f81b9 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.