Triple

T3190025
Position Surface form Disambiguated ID Type / Status
Subject Ville-d'Avray E66798 entity
Predicate hasRoad P959 FINISHED
Object D910
D910 is a departmental road in France that serves as a key route connecting and passing through the commune of Ville-d'Avray in the Île-de-France region.
E336579 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: D910 | Statement: [Ville-d'Avray, hasRoad, D910]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: D910
Context triple: [Ville-d'Avray, hasRoad, D910]
  • A. 9D
    9D is the designation for a state highway in New York known as New York State Route 9D.
  • B. French D900
    The French D900 is a departmental road in southeastern France that serves as a key route through the Alps, connecting to the Col de Larche mountain pass near the Italian border.
  • C. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • D. D8
    D8 is the commonly used abbreviation for California Department of Transportation's District 8, which oversees state highways and transportation infrastructure in parts of Southern California.
  • E. C90
    C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
  • 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: D910
Triple: [Ville-d'Avray, hasRoad, D910]
Generated description
D910 is a departmental road in France that serves as a key route connecting and passing through the commune of Ville-d'Avray in the Île-de-France region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: D910
Target entity description: D910 is a departmental road in France that serves as a key route connecting and passing through the commune of Ville-d'Avray in the Île-de-France region.
  • A. 9D
    9D is the designation for a state highway in New York known as New York State Route 9D.
  • B. French D900
    The French D900 is a departmental road in southeastern France that serves as a key route through the Alps, connecting to the Col de Larche mountain pass near the Italian border.
  • C. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • D. D8
    D8 is the commonly used abbreviation for California Department of Transportation's District 8, which oversees state highways and transportation infrastructure in parts of Southern California.
  • E. C90
    C90 is the informal name for the 1990 standardization of the C programming language defined by ISO/IEC 9899.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e67e948190afbd9cc6a3ade415 completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b9a9bc88190b7090bda8fe6260c completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24d677ca8819094cb03360ac885da completed March 12, 2026, 5:21 a.m.
NED2 Entity disambiguation (via description) batch_69b25178f3c08190be78bdbd0cdfc5f3 completed March 12, 2026, 5:39 a.m.
Created at: March 8, 2026, 3:07 p.m.