Triple

T8343861
Position Surface form Disambiguated ID Type / Status
Subject Robat Karim County E195986 entity
Predicate capital P234 FINISHED
Object Robat Karim E706472 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: Robat Karim | Statement: [Robat Karim County, capital, Robat Karim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robat Karim
Context triple: [Robat Karim County, capital, Robat Karim]
  • A. Robat Karim chosen
    Robat Karim is a city in Tehran Province, Iran, situated southwest of Tehran and known for its proximity to major transportation routes including Imam Khomeini International Airport.
  • B. Usmar Ismail
    Usmar Ismail was a pioneering Indonesian film director and producer, often regarded as the father of Indonesian cinema.
  • C. Abdul Khalek
    Abdul Khalek is the given name of Abdul Khalek Hassouna, an Egyptian diplomat who served as Secretary-General of the Arab League.
  • D. Jawed Ahmad Karim
    Jawed Ahmad Karim is a German-American computer scientist and internet entrepreneur best known as a co-founder of YouTube and for uploading the platform’s first video, "Me at the zoo."
  • E. Zahid Hasan Raju
    Zahid Hasan Raju is known as a son of the legendary Bangladeshi film actor Razzak.
  • 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_69ca82edd63c8190b876b8465464c5fa completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7febde288190bf4677fb24d26b83 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc733f7848190ab60098cb178dbfc completed April 2, 2026, 1:32 a.m.
Created at: March 30, 2026, 5:58 p.m.