Triple

T9233634
Position Surface form Disambiguated ID Type / Status
Subject Place des États-Unis E221881 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Eiffel Tower area E22704 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: Eiffel Tower area | Statement: [Place des États-Unis, hasNearbyLandmark, Eiffel Tower area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eiffel Tower area
Context triple: [Place des États-Unis, hasNearbyLandmark, Eiffel Tower area]
  • A. Trocadéro chosen
    Trocadéro is a prominent area in Paris known for its grand esplanade and panoramic views of the Eiffel Tower, historically associated with major exhibitions and cultural events.
  • B. 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.
  • C. Champ de Mars
    Champ de Mars is a large public greenspace in Paris, France, best known as the expansive park surrounding the Eiffel Tower and hosting gatherings, events, and scenic views.
  • D. Champ de Mars
    Champ de Mars is the central public square and park complex in Port-au-Prince, Haiti, known as a major civic, cultural, and ceremonial gathering place.
  • E. Parque París
    Parque París is a public park in Las Rozas de Madrid, Spain, known as a local green space for recreation and leisure.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1baa3c8190870d1e850ccab1e0 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077bb5b10819083fd2de3ed7d69a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:29 p.m.