Triple

T7740207
Position Surface form Disambiguated ID Type / Status
Subject N6 road E175486 entity
Predicate formerRouteNumber P22310 FINISHED
Object RN6
RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
E685987 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: RN6 | Statement: [N6 road, formerRouteNumber, RN6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RN6
Context triple: [N6 road, formerRouteNumber, RN6]
  • 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. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • C. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • D. NR
    NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
  • E. NR
    NR is the radio access technology standard defined by 3GPP for fifth-generation (5G) mobile networks, enabling high-speed, low-latency wireless communication.
  • 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: RN6
Triple: [N6 road, formerRouteNumber, RN6]
Generated description
RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RN6
Target entity description: RN6 is a former designation for a national road that has since been renumbered or reclassified within the road network.
  • 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. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • C. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • D. NR
    NR is the U.S. Navy’s Office of Naval Reactors, the organization responsible for the design, operation, and safety of naval nuclear propulsion systems.
  • E. NR
    NR is the radio access technology standard defined by 3GPP for fifth-generation (5G) mobile networks, enabling high-speed, low-latency wireless communication.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035cddb881908bdfc1bd7d6a64ad completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be4178408190850c284aab895442 completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bf30e83c819084f1c04b686d81a7 completed March 29, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8bfbb67888190a92de6c6c9562da4 completed March 29, 2026, 5:59 a.m.
Created at: March 27, 2026, 4:07 p.m.