Triple

T12251117
Position Surface form Disambiguated ID Type / Status
Subject Orléans tramway E291971 entity
Predicate hasDepot P2413 FINISHED
Object La Source depot
La Source depot is a maintenance and storage facility serving the Orléans tramway network in Orléans, France.
 E972087 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: La Source depot | Statement: [Orléans tramway, hasDepot, La Source depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Source depot
Context triple: [Orléans tramway, hasDepot, La Source depot]
  • A. La Source
    La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
  • B. La Source
    La Source is a popular surf break near Taghazout, Morocco, known for its consistent waves and scenic Atlantic coastline.
  • C. Cerca-la-Source
    Cerca-la-Source is a commune and town in Haiti located within the country's Centre Department.
  • D. Soure
    Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
  • E. The Source (retail)
    The Source (retail) is a Canadian consumer electronics and telecommunications retail chain known for selling phones, accessories, and electronic devices across the country.
  • 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: La Source depot
Triple: [Orléans tramway, hasDepot, La Source depot]
Generated description
La Source depot is a maintenance and storage facility serving the Orléans tramway network in Orléans, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Source depot
Target entity description: La Source depot is a maintenance and storage facility serving the Orléans tramway network in Orléans, France.
  • A. La Source
    La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
  • B. La Source
    La Source is a popular surf break near Taghazout, Morocco, known for its consistent waves and scenic Atlantic coastline.
  • C. Cerca-la-Source
    Cerca-la-Source is a commune and town in Haiti located within the country's Centre Department.
  • D. Soure
    Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
  • E. The Source (retail)
    The Source (retail) is a Canadian consumer electronics and telecommunications retail chain known for selling phones, accessories, and electronic devices across the country.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cc6983c81909bf479d15879a357 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abbf75c81908a25e1c0a4aee8c1 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:52 p.m.