Triple

T2554086
Position Surface form Disambiguated ID Type / Status
Subject Korangi District E56692 entity
Predicate hasMajorRoad P385 FINISHED
Object Shahrah-e-Faisal E160496 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: Shahrah-e-Faisal | Statement: [Korangi District, hasMajorRoad, Shahrah-e-Faisal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahrah-e-Faisal
Context triple: [Korangi District, hasMajorRoad, Shahrah-e-Faisal]
  • A. Jinnah Avenue
    Jinnah Avenue is a major commercial and business thoroughfare in Islamabad, Pakistan, lined with offices, shopping centers, and prominent landmarks.
  • B. M.A. Jinnah Road chosen
    M.A. Jinnah Road is one of Karachi’s main historic and commercial thoroughfares, lined with markets, colonial-era buildings, and key civic landmarks.
  • C. Enghelab Street
    Enghelab Street is a major thoroughfare in central Tehran known as an important cultural, academic, and commercial hub of the city.
  • D. Sheikh Zayed Road
    Sheikh Zayed Road is Dubai’s main multi-lane highway and commercial artery, lined with skyscrapers and connecting key districts across the city and beyond.
  • E. Sinan Road
    Sinan Road is a historic, tree-lined street in Shanghai known for its well-preserved early 20th-century architecture and cultural landmarks.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30d20e081908587c76064573150 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d17ecd0819097c6b95307cc7557 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.