Triple

T9461207
Position Surface form Disambiguated ID Type / Status
Subject Kopet Dag mountains E228147 entity
Predicate nearCity P350 FINISHED
Object Mashhad E80068 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: Mashhad | Statement: [Kopet Dag mountains, nearCity, Mashhad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mashhad
Context triple: [Kopet Dag mountains, nearCity, Mashhad]
  • A. Mashhad chosen
    Mashhad is a major city in northeastern Iran renowned as a leading religious and cultural center of the Islamic world, centered around the shrine of Imam Reza.
  • B. 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.
  • C. Rayy
    Rayy was an important medieval city near present-day Tehran that served as a major political, commercial, and intellectual hub during the Islamic Golden Age.
  • D. Tehran
    Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
  • E. Hamadan
    Hamadan is an ancient city in western Iran, historically significant as a major center of Persian Jewish life and one of the oldest continuously inhabited cities in the region.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcc8b1881908aa6ee13ab195330 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dbc697388190b384c7ed9e6a65dc completed April 10, 2026, 11:15 a.m.
Created at: March 30, 2026, 7:52 p.m.