Triple

T1063000
Position Surface form Disambiguated ID Type / Status
Subject Iranian Revolution E22947 entity
Predicate location P40 FINISHED
Object Qom E80413 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: Qom | Statement: [Iranian Revolution, location, Qom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qom
Context triple: [Iranian Revolution, location, Qom]
  • A. Qom chosen
    Qom is a major Iranian city renowned as a leading center of Shia Islamic scholarship, pilgrimage, and religious authority.
  • B. 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.
  • C. Yazd
    Yazd is an ancient desert city in central Iran known for its well-preserved mud-brick architecture, Zoroastrian heritage, and historically significant Jewish community.
  • D. 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.
  • E. Kerman
    Kerman is a small city in California’s San Joaquin Valley, known for its agricultural economy and location west of Fresno.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f68a54819084326d87c3498252 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac763827b08190b84cc18a5cfa64fc completed March 7, 2026, 7:02 p.m.
Created at: March 1, 2026, 7:42 p.m.