Triple

T3444022
Position Surface form Disambiguated ID Type / Status
Subject Dijon E72631 entity
Predicate hasLandmark P105 FINISHED
Object Porte Guillaume
Porte Guillaume is a historic triumphal arch in Dijon, France, serving as a prominent architectural symbol of the city.
E358864 NE FINISHED

How this triple was built (4 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: Porte Guillaume | Statement: [Dijon, hasLandmark, Porte Guillaume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porte Guillaume
Context triple: [Dijon, hasLandmark, Porte Guillaume]
  • A. Porte Dauphine
    Porte Dauphine is a Paris Métro station on Line 2, located near the Bois de Boulogne in the 16th arrondissement of Paris.
  • B. Porte de la Chapelle
    Porte de la Chapelle is a neighborhood and former city gate area in northern Paris known as a major transport hub and gateway into the city.
  • C. Porte Saint-Martin
    Porte Saint-Martin is a 17th-century triumphal arch in Paris, France, built to commemorate Louis XIV’s military victories and located near the Place de la République.
  • D. Porte Saint-Denis
    Porte Saint-Denis is a monumental triumphal arch in Paris, built in the 17th century to commemorate the military victories of King Louis XIV.
  • E. Porte Molitor
    Porte Molitor is a Paris Métro station in the 16th arrondissement of Paris, France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Porte Guillaume
Triple: [Dijon, hasLandmark, Porte Guillaume]
Generated description
Porte Guillaume is a historic triumphal arch in Dijon, France, serving as a prominent architectural symbol of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porte Guillaume
Target entity description: Porte Guillaume is a historic triumphal arch in Dijon, France, serving as a prominent architectural symbol of the city.
  • A. Porte Dauphine
    Porte Dauphine is a Paris Métro station on Line 2, located near the Bois de Boulogne in the 16th arrondissement of Paris.
  • B. Porte de la Chapelle
    Porte de la Chapelle is a neighborhood and former city gate area in northern Paris known as a major transport hub and gateway into the city.
  • C. Porte Saint-Martin
    Porte Saint-Martin is a 17th-century triumphal arch in Paris, France, built to commemorate Louis XIV’s military victories and located near the Place de la République.
  • D. Porte Saint-Denis
    Porte Saint-Denis is a monumental triumphal arch in Paris, built in the 17th century to commemorate the military victories of King Louis XIV.
  • E. Porte Molitor
    Porte Molitor is a Paris Métro station in the 16th arrondissement of Paris, France.
  • F. None of above. chosen

Provenance (5 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2a605c8190a0eafdf6f25b1e38 completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360da33e081908630e3f29ea01530 completed March 13, 2026, 12:56 a.m.
NEDg Description generation batch_69b3615cf80481908ff305f995d0b176 completed March 13, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b36249b50881909ebae2d35b30cc1c completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:16 p.m.