Triple

T3272010
Position Surface form Disambiguated ID Type / Status
Subject Denfert-Rochereau E68668 entity
Predicate hasBusService P3791 FINISHED
Object Orlybus
Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
 E342709 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: Orlybus | Statement: [Denfert-Rochereau, hasBusService, Orlybus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orlybus
Context triple: [Denfert-Rochereau, hasBusService, Orlybus]
  • A. Borobi
    Borobi is a blue koala character created as the official mascot for the 2018 Commonwealth Games held on Australia's Gold Coast.
  • B. Ormur
    Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
  • C. Bergalia
    Bergalia is a small rural locality in New South Wales, Australia, situated near the coastal town of Moruya.
  • D. Xerus
    Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
  • E. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • 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: Orlybus
Triple: [Denfert-Rochereau, hasBusService, Orlybus]
Generated description
Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orlybus
Target entity description: Orlybus is a dedicated airport shuttle bus service connecting central Paris with Orly Airport.
  • A. Borobi
    Borobi is a blue koala character created as the official mascot for the 2018 Commonwealth Games held on Australia's Gold Coast.
  • B. Ormur
    Ormur is a lesser-known Eastern Iranian language spoken primarily by the Ormur people in parts of Afghanistan and Pakistan.
  • C. Bergalia
    Bergalia is a small rural locality in New South Wales, Australia, situated near the coastal town of Moruya.
  • D. Xerus
    Xerus is a genus of African ground squirrels known for their diurnal, social behavior and adaptation to open, arid habitats.
  • E. Maurus
    Maurus is a masculine given name of Latin origin, historically associated with early Christian saints and used as a variant of names like Maurice.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff6308881908886a44804a0bb09 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28f0793e08190af55ee16e5091451 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b296709f84819094fe9db721a44f83 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c47e908190b5be5b33da358ade completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:10 p.m.