Triple

T12881775
Position Surface form Disambiguated ID Type / Status
Subject National Highway Network of Pakistan E308112 entity
Predicate includes P1393 FINISHED
Object N-65
N-65 is a national highway in Pakistan that serves as an important east–west route connecting key cities and regions within the country’s road network.
E1009796 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: N-65 | Statement: [National Highway Network of Pakistan, includes, N-65]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N-65
Context triple: [National Highway Network of Pakistan, includes, N-65]
  • A. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • B. N60
    N60 is a major regional road in Belgium that connects several towns and provides important access to the national road network.
  • C. N-5
    N-5 is a major national highway in Pakistan that forms a key part of the country’s primary north–south road network.
  • D. N62
    N62 is a major Dutch roadway in the province of Zeeland that connects key transport routes and includes the Westerscheldetunnel under the Western Scheldt.
  • E. N6
    N6 is a national route in South Africa that connects inland regions to the coastal city of East London, serving as a key north–south transport corridor.
  • 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: N-65
Triple: [National Highway Network of Pakistan, includes, N-65]
Generated description
N-65 is a national highway in Pakistan that serves as an important east–west route connecting key cities and regions within the country’s road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N-65
Target entity description: N-65 is a national highway in Pakistan that serves as an important east–west route connecting key cities and regions within the country’s road network.
  • A. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • B. N60
    N60 is a major regional road in Belgium that connects several towns and provides important access to the national road network.
  • C. N-5
    N-5 is a major national highway in Pakistan that forms a key part of the country’s primary north–south road network.
  • D. N62
    N62 is a major Dutch roadway in the province of Zeeland that connects key transport routes and includes the Westerscheldetunnel under the Western Scheldt.
  • E. N6
    N6 is a national route in South Africa that connects inland regions to the coastal city of East London, serving as a key north–south transport corridor.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fd15888190baf90fc30f2a3e25 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55393a88190a88c9357a6db5aec completed May 3, 2026, 1:30 a.m.
NEDg Description generation batch_69f6a6db731c819091b96c4ed6a50f19 completed May 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69f6a8a31264819082c1ce67eaa529cc completed May 3, 2026, 1:45 a.m.
Created at: April 9, 2026, 5:39 p.m.