Triple

T10298931
Position Surface form Disambiguated ID Type / Status
Subject Rue Cler E241571 entity
Predicate isNear P350 FINISHED
Object Champ de Mars 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: Champ de Mars | Statement: [Rue Cler, isNear, Champ de Mars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champ de Mars
Context triple: [Rue Cler, isNear, Champ de Mars]
  • A. 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.
  • B. 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.
  • C. Parque París
    Parque París is a public park in Las Rozas de Madrid, Spain, known as a local green space for recreation and leisure.
  • D. Place de la Concorde
    Place de la Concorde is a major public square in central Paris, renowned for its historic significance, monumental architecture, and prominent location between the Champs-Élysées and the Tuileries Garden.
  • E. Parc de Bagatelle
    Parc de Bagatelle is a historic landscaped garden in Paris renowned for its romantic English-style park, extensive rose gardens, and 18th-century château.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ee10f88190b1615c49b8f24a26 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e40205c8190a4788e1db1f149d2 completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, 11:44 a.m.