Triple

T12734035
Position Surface form Disambiguated ID Type / Status
Subject Villeneuve-sur-Yonne E304315 entity
Predicate hasCityGate P4365 FINISHED
Object Porte de Sens
Porte de Sens is a historic city gate in Villeneuve-sur-Yonne, France, notable as part of the town’s medieval fortifications.
 E1001686 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 de Sens | Statement: [Villeneuve-sur-Yonne, hasCityGate, Porte de Sens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Porte de Sens
Context triple: [Villeneuve-sur-Yonne, hasCityGate, Porte de Sens]
  • A. Porte de l’Oulle
    Porte de l’Oulle is a historic city gate in Avignon, France, forming part of the medieval fortifications that once protected the city.
  • B. Porte du Soubeyran
    Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols in southern France.
  • C. Porte de la Gardette
    Porte de la Gardette is a historic city gate in the medieval fortified town of Aigues-Mortes in southern France.
  • D. 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.
  • E. Porte de Saint-Ouen
    Porte de Saint-Ouen is a Paris Métro station in the 17th arrondissement serving the northwestern part of the city near the Porte de Saint-Ouen city gate.
  • 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 de Sens
Triple: [Villeneuve-sur-Yonne, hasCityGate, Porte de Sens]
Generated description
Porte de Sens is a historic city gate in Villeneuve-sur-Yonne, France, notable as part of the town’s medieval fortifications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Porte de Sens
Target entity description: Porte de Sens is a historic city gate in Villeneuve-sur-Yonne, France, notable as part of the town’s medieval fortifications.
  • A. Porte de l’Oulle
    Porte de l’Oulle is a historic city gate in Avignon, France, forming part of the medieval fortifications that once protected the city.
  • B. Porte du Soubeyran
    Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols in southern France.
  • C. Porte de la Gardette
    Porte de la Gardette is a historic city gate in the medieval fortified town of Aigues-Mortes in southern France.
  • D. 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.
  • E. Porte de Saint-Ouen
    Porte de Saint-Ouen is a Paris Métro station in the 17th arrondissement serving the northwestern part of the city near the Porte de Saint-Ouen city gate.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646902408190b29268d864833b80 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684e7dec08190b522a8f3bfde6fe2 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f685dac5cc8190b4bc2d81186c9266 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f6869156048190b548ecd04561deb8 completed May 2, 2026, 11:19 p.m.
Created at: April 9, 2026, 5:26 p.m.