Triple

T7092258
Position Surface form Disambiguated ID Type / Status
Subject Molsheim E165223 entity
Predicate hasHeritageSite P923 FINISHED
Object Porte des Forgerons
Porte des Forgerons is a historic fortified city gate in Molsheim, France, notable as a remnant of the town’s medieval defensive walls.
 E642644 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 des Forgerons | Statement: [Molsheim, hasHeritageSite, Porte des Forgerons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Porte des Forgerons
Context triple: [Molsheim, hasHeritageSite, Porte des Forgerons]
  • 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 de la Gardette
    Porte de la Gardette is a historic city gate in the medieval fortified town of Aigues-Mortes in southern France.
  • C. Porte du Soubeyran
    Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols 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 Dauphine
    Porte Dauphine is a Paris Métro station on Line 2, located near the Bois de Boulogne in the 16th arrondissement of Paris.
  • 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 des Forgerons
Triple: [Molsheim, hasHeritageSite, Porte des Forgerons]
Generated description
Porte des Forgerons is a historic fortified city gate in Molsheim, France, notable as a remnant of the town’s medieval defensive walls.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Porte des Forgerons
Target entity description: Porte des Forgerons is a historic fortified city gate in Molsheim, France, notable as a remnant of the town’s medieval defensive walls.
  • 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 de la Gardette
    Porte de la Gardette is a historic city gate in the medieval fortified town of Aigues-Mortes in southern France.
  • C. Porte du Soubeyran
    Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols 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 Dauphine
    Porte Dauphine is a Paris Métro station on Line 2, located near the Bois de Boulogne in the 16th arrondissement of Paris.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e532513c8190968eea8a0d3235a0 completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c960484819098228cebccb8c935 completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79ef0e8448190a8f0a7572ee87f5f completed March 28, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_69c79fa4e69881909cf991a5d0ab3de9 completed March 28, 2026, 9:30 a.m.
Created at: March 27, 2026, 2:41 p.m.