Triple

T9400615
Position Surface form Disambiguated ID Type / Status
Subject N13 road E226457 entity
Predicate roadNumber P1864 FINISHED
Object N13
N13 is a designated national road route identified by the number 13 within a country's highway network.
 E795684 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: N13 | Statement: [N13 road, roadNumber, N13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N13
Context triple: [N13 road, roadNumber, N13]
  • A. N1
    N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
  • B. N141
    N141 is a French national highway that serves as a major regional route connecting several towns and cities, including Guéret, in central France.
  • C. N106
    N106 is a French national road that serves as a key route connecting the town of Alès to other parts of southern France.
  • D. N104
    N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
  • E. NP13
    NP13 is a UK postal district within the NP postcode area, covering parts of south-east Wales including towns such as Abertillery.
  • 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: N13
Triple: [N13 road, roadNumber, N13]
Generated description
N13 is a designated national road route identified by the number 13 within a country's highway network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N13
Target entity description: N13 is a designated national road route identified by the number 13 within a country's highway network.
  • A. N1
    N1 is a major national highway route, typically serving as a primary north–south or intercity transport corridor in the country’s road network.
  • B. N141
    N141 is a French national highway that serves as a major regional route connecting several towns and cities, including Guéret, in central France.
  • C. N106
    N106 is a French national road that serves as a key route connecting the town of Alès to other parts of southern France.
  • D. N104
    N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
  • E. NP13
    NP13 is a UK postal district within the NP postcode area, covering parts of south-east Wales including towns such as Abertillery.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5156b9588190bafb6b1c3ee3c0ed completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1012753088190bc73b7c577109e76 completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d101aee16481909576ea5d8407beb5 completed April 4, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69d1024cfedc81908a97b5fe4970719a completed April 4, 2026, 12:21 p.m.
Created at: March 30, 2026, 7:46 p.m.