Triple

T20066673
Position Surface form Disambiguated ID Type / Status
Subject Greater Tehran E499624 entity
Predicate contains P35 FINISHED
Object Robat Karim 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: Robat Karim | Statement: [Greater Tehran, contains, Robat Karim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robat Karim
Context triple: [Greater Tehran, contains, 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. Matiur Rahman
    Matiur Rahman was a Bangladesh Air Force officer and national hero, posthumously awarded the country's highest military honor for his attempted defection with a Pakistan Air Force jet during the 1971 Liberation War.
  • C. Usmar Ismail
    Usmar Ismail was a pioneering Indonesian film director and producer, often regarded as the father of Indonesian cinema.
  • D. Abdul Khalek
    Abdul Khalek is the given name of Abdul Khalek Hassouna, an Egyptian diplomat who served as Secretary-General of the Arab League.
  • E. Faysal
    Faysal is a male given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66379f2cc81908f13a7b216878f12 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:39 p.m.