Triple

T20738352
Position Surface form Disambiguated ID Type / Status
Subject Route nationale 13 E509770 entity
Predicate hasAbbreviation P43 FINISHED
Object RN 13
RN 13 is a major French national highway that connects Paris to the Normandy region, serving as an important route toward the northwest coast.
E1448074 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: RN 13 | Statement: [Route nationale 13, hasAbbreviation, RN 13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RN 13
Context triple: [Route nationale 13, hasAbbreviation, RN 13]
  • A. RN 106
    RN 106 is a French national highway that connects the cities of Nîmes and Alès in southern France.
  • B. RN 9
    RN 9 is a major Argentine national highway that runs from Buenos Aires to the Bolivian border, serving as a key transportation corridor through several central and northern provinces.
  • C. RN 55
    RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
  • D. RN
    RN is a Chilean center-right political party known as National Renewal.
  • E. RN
    RN is the commonly used abbreviation for "RN: The Memoirs of Richard Nixon," the former U.S. president’s autobiographical account of his life and political career.
  • 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: RN 13
Triple: [Route nationale 13, hasAbbreviation, RN 13]
Generated description
RN 13 is a major French national highway that connects Paris to the Normandy region, serving as an important route toward the northwest coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RN 13
Target entity description: RN 13 is a major French national highway that connects Paris to the Normandy region, serving as an important route toward the northwest coast.
  • A. RN 106
    RN 106 is a French national highway that connects the cities of Nîmes and Alès in southern France.
  • B. RN 9
    RN 9 is a major Argentine national highway that runs from Buenos Aires to the Bolivian border, serving as a key transportation corridor through several central and northern provinces.
  • C. RN 55
    RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
  • D. RN
    RN is a Chilean center-right political party known as National Renewal.
  • E. RN
    RN is the commonly used abbreviation for "RN: The Memoirs of Richard Nixon," the former U.S. president’s autobiographical account of his life and political career.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20c36708190898b889b6989fc7d completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e83a28548190b87010bfde6626eb completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e8df60c88190803590abd75b3e43 completed May 16, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08e95f05088190b5934f067c5dd7b7 completed May 16, 2026, 10:02 p.m.
Created at: April 16, 2026, 12:32 p.m.