Triple

T19768483
Position Surface form Disambiguated ID Type / Status
Subject Gangnam Station E474819 entity
Predicate locatedOnRoad P20522 FINISHED
Object Teheran-ro NE NERFINISHED

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: Teheran-ro | Statement: [Gangnam Station, locatedOnRoad, Teheran-ro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teheran-ro
Context triple: [Gangnam Station, locatedOnRoad, Teheran-ro]
  • A. Teheran-ro chosen
    Teheran-ro is a major business and technology corridor in Seoul, South Korea, known for its concentration of corporate headquarters, startups, and high-rise office buildings.
  • B. Tehran
    Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
  • C. Shahr-e Rey
    Shahr-e Rey is an ancient city now absorbed into the metropolitan area of Tehran, Iran, known for its long history as a major political and cultural center in the region.
  • D. Persepolis Tehran
    Persepolis Tehran is a prominent Iranian professional football club based in Tehran and one of the most successful and popular teams in Asian football.
  • E. Isfahan
    Isfahan is a historic Iranian city renowned for its Safavid-era architecture, grand mosques, and role as a major political and cultural center in early modern Persia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65359bb9881908f48282b63a83f2f completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.