Triple

T14980941
Position Surface form Disambiguated ID Type / Status
Subject Grenelle E373571 entity
Predicate borders P224 FINISHED
Object Tour Eiffel–Champ de Mars area E12697 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: Tour Eiffel–Champ de Mars area | Statement: [Grenelle, borders, Tour Eiffel–Champ de Mars area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tour Eiffel–Champ de Mars area
Context triple: [Grenelle, borders, Tour Eiffel–Champ de Mars area]
  • A. 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.
  • B. Champ de Mars chosen
    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.
  • C. 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.
  • D. Champ de Mars
    Champ de Mars is a central public park and gathering space in Valence, in France’s Drôme department, known for its open lawns, promenades, and views over the city.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6fcebf481909f72cab577560d82 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bef015c8190bdfb1b9144b2a55c completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:52 a.m.