Triple

T16889170
Position Surface form Disambiguated ID Type / Status
Subject Route nationale 106 E421618 entity
Predicate hasAbbreviation P43 FINISHED
Object RN 106
RN 106 is a French national highway that connects the cities of Nîmes and Alès in southern France.
E1238317 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 106 | Statement: [Route nationale 106, hasAbbreviation, RN 106]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RN 106
Context triple: [Route nationale 106, hasAbbreviation, RN 106]
  • A. RN 60
    RN 60 is a major Argentine national highway that connects the province of Córdoba with the Chilean border, serving as an important trans-Andean route.
  • B. RN104
    RN104, also called the Francilienne, is a major ring road in the Île-de-France region that serves as an outer bypass around Paris.
  • C. 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.
  • D. RN 55
    RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
  • E. RN
    RN is the stock ticker symbol under which the former American conglomerate RJR Nabisco was traded on public financial markets.
  • 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 106
Triple: [Route nationale 106, hasAbbreviation, RN 106]
Generated description
RN 106 is a French national highway that connects the cities of Nîmes and Alès in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RN 106
Target entity description: RN 106 is a French national highway that connects the cities of Nîmes and Alès in southern France.
  • A. RN 60
    RN 60 is a major Argentine national highway that connects the province of Córdoba with the Chilean border, serving as an important trans-Andean route.
  • B. RN104
    RN104, also called the Francilienne, is a major ring road in the Île-de-France region that serves as an outer bypass around Paris.
  • C. 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.
  • D. RN 55
    RN 55 is the abbreviated designation for Colombia’s National Route 55, a major roadway in the country’s highway network.
  • E. RN
    RN is the stock ticker symbol under which the former American conglomerate RJR Nabisco was traded on public financial markets.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc3b5188190ac713b4d4166e961 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2c1eee48190bc906e658d7729a4 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c3b4a36c8190804b8616958002fc completed May 10, 2026, 5:43 p.m.
NED2 Entity disambiguation (via description) batch_6a00c434d8f88190a71c1c4c8e475e33 completed May 10, 2026, 5:45 p.m.
Created at: April 10, 2026, 5:29 a.m.