Triple

T12881776
Position Surface form Disambiguated ID Type / Status
Subject National Highway Network of Pakistan E308112 entity
Predicate includes P1393 FINISHED
Object N-45 E265674 NE FINISHED

How this triple was built (2 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-45 | Statement: [National Highway Network of Pakistan, includes, N-45]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N-45
Context triple: [National Highway Network of Pakistan, includes, N-45]
  • A. N-45 chosen
    N-45 is a national highway in Pakistan that serves as a key route connecting the Lowari Pass area with other regions of the country.
  • B. N-40
    N-40 is a designated national highway route, identified by the route number N-40, within a country's road network.
  • C. 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.
  • D. 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.
  • E. N40
    N40 is a major national primary road in County Cork, Ireland, forming part of the city’s southern ring route and linking key radial routes around Cork.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 9, 2026, 5:39 p.m.