Triple

T16227843
Position Surface form Disambiguated ID Type / Status
Subject Clichy E393898 entity
Predicate hasLandmark P105 FINISHED
Object Parc Roger-Salengro E165358 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: Parc Roger-Salengro | Statement: [Clichy, hasLandmark, Parc Roger-Salengro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parc Roger-Salengro
Context triple: [Clichy, hasLandmark, Parc Roger-Salengro]
  • A. Parc Jouvet
    Parc Jouvet is a large public park and botanical garden in Valence, France, known for its landscaped lawns, ornamental ponds, and views over the Rhône River.
  • B. Parc de La Courneuve
    Parc de La Courneuve is a large public park in the northeastern suburbs of Paris, known for its expansive green spaces, lakes, and recreational facilities.
  • C. Parc Salengro chosen
    Parc Salengro is a public urban park in Clichy, in the Hauts-de-Seine department near Paris, offering green space and recreational areas for local residents.
  • D. Parc de Gerland
    Parc de Gerland is a large urban park in Lyon, France, known for its modern landscaping, riverside setting along the Rhône, and extensive recreational and sports facilities.
  • E. Parc des Chantiers
    Parc des Chantiers is a public urban park on the Île de Nantes in France, known for its post-industrial landscape, cultural installations, and proximity to the Machines de l’Île.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2785f88190ae80d5d61129d3e5 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079e83f08190a260751fd8b55eef completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.