Triple

T12881774
Position Surface form Disambiguated ID Type / Status
Subject National Highway Network of Pakistan E308112 entity
Predicate includes P1393 FINISHED
Object N-10
N-10 is a major coastal highway in Pakistan that runs along the Makran coast, connecting key towns and ports in the country’s southwest.
 E1009795 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-10 | Statement: [National Highway Network of Pakistan, includes, N-10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N-10
Context triple: [National Highway Network of Pakistan, includes, N-10]
  • A. N10
    N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
  • B. N-1
    N-1 was the registration designation of the airship Norge, the semi-rigid Italian-built dirigible famous for making one of the first verified flights over the North Pole in 1926.
  • C. NE10
    NE10 is the commonly used abbreviation for the Northeast-10 Conference, an NCAA Division II collegiate athletic conference in the northeastern United States.
  • D. N104
    N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
  • E. N106
    N106 is a French national road that serves as a key route connecting the town of Alès to other parts of southern France.
  • 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-10
Triple: [National Highway Network of Pakistan, includes, N-10]
Generated description
N-10 is a major coastal highway in Pakistan that runs along the Makran coast, connecting key towns and ports in the country’s southwest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N-10
Target entity description: N-10 is a major coastal highway in Pakistan that runs along the Makran coast, connecting key towns and ports in the country’s southwest.
  • A. N10
    N10 is a numbered national route that intersects with South Africa’s major National Route N2 as part of the country’s primary road network.
  • B. N-1
    N-1 was the registration designation of the airship Norge, the semi-rigid Italian-built dirigible famous for making one of the first verified flights over the North Pole in 1926.
  • C. NE10
    NE10 is the commonly used abbreviation for the Northeast-10 Conference, an NCAA Division II collegiate athletic conference in the northeastern United States.
  • D. N104
    N104 is a major ring road in the Île-de-France region, forming part of the Francilienne orbital route around Paris.
  • E. N106
    N106 is a French national road that serves as a key route connecting the town of Alès to other parts of southern France.
  • 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.