Triple

T12959436
Position Surface form Disambiguated ID Type / Status
Subject Tramway de Tours E310099 entity
Predicate hasStop P17789 FINISHED
Object Porte de Loire
Porte de Loire is a tram stop on the Tours tramway network in the city of Tours, France.
 E1014343 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 Loire | Statement: [Tramway de Tours, hasStop, Porte de Loire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Porte de Loire
Context triple: [Tramway de Tours, hasStop, Porte de Loire]
  • A. Porte de Joigny
    Porte de Joigny is a historic city gate in Villeneuve-sur-Yonne, France, notable as part of the town’s medieval fortifications.
  • B. 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.
  • C. 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.
  • D. Porte de Vincennes
    Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
  • E. Porte Dorée
    Porte Dorée is a Parisian neighborhood and metro area in the 12th arrondissement, known for its proximity to the Bois de Vincennes and the Palais de la Porte Dorée.
  • 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 Loire
Triple: [Tramway de Tours, hasStop, Porte de Loire]
Generated description
Porte de Loire is a tram stop on the Tours tramway network in the city of Tours, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Porte de Loire
Target entity description: Porte de Loire is a tram stop on the Tours tramway network in the city of Tours, France.
  • A. Porte de Joigny
    Porte de Joigny is a historic city gate in Villeneuve-sur-Yonne, France, notable as part of the town’s medieval fortifications.
  • B. 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.
  • C. 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.
  • D. Porte de Vincennes
    Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
  • E. Porte Dorée
    Porte Dorée is a Parisian neighborhood and metro area in the 12th arrondissement, known for its proximity to the Bois de Vincennes and the Palais de la Porte Dorée.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e006cc819091e5f4b044cadea4 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dac2c88190850304023f156969 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb304f7c8190a02aa2c5f71cea89 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 5:44 p.m.