Triple

T7856473
Position Surface form Disambiguated ID Type / Status
Subject M-1 Motorway (via Islamabad) E182387 entity
Predicate roadNumber P1864 FINISHED
Object M-1
M-1 is a major Pakistani motorway connecting Islamabad to Peshawar as part of the country’s national high-speed road network.
E700826 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: M-1 | Statement: [M-1 Motorway (via Islamabad), roadNumber, M-1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-1
Context triple: [M-1 Motorway (via Islamabad), roadNumber, M-1]
  • A. M-1
    M-1 is a state trunkline highway in Michigan, best known as Woodward Avenue, a major historic thoroughfare running through the Detroit metropolitan area.
  • B. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • C. M1
    M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
  • D. M1
    M1 is a major motorway in New South Wales, Australia, forming a key part of the coastal route between Sydney and the state's northern and southern regions.
  • E. M1
    M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
  • 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: M-1
Triple: [M-1 Motorway (via Islamabad), roadNumber, M-1]
Generated description
M-1 is a major Pakistani motorway connecting Islamabad to Peshawar as part of the country’s national high-speed road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M-1
Target entity description: M-1 is a major Pakistani motorway connecting Islamabad to Peshawar as part of the country’s national high-speed road network.
  • A. M-1
    M-1 is a state trunkline highway in Michigan, best known as Woodward Avenue, a major historic thoroughfare running through the Detroit metropolitan area.
  • B. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • C. M1
    M1 is Budapest’s historic Millennium Underground line, one of the world’s oldest metro lines and a UNESCO World Heritage site.
  • D. M1
    M1 is a major motorway in New South Wales, Australia, forming a key part of the coastal route between Sydney and the state's northern and southern regions.
  • E. M1
    M1 is one of the main lines of the Bucharest Metro, forming part of the city’s core rapid transit network.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a75de548190af5653409a3b3881 completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b2e2980819083369668938bae9c completed March 31, 2026, 5:27 a.m.
NEDg Description generation batch_69cb762fda2c81908ed508e12cabb938 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbbf706e888190bfd08d9d78945c49 completed March 31, 2026, 12:34 p.m.
Created at: March 30, 2026, 4:52 p.m.