Triple

T17004859
Position Surface form Disambiguated ID Type / Status
Subject Arak heavy water reactor E412544 entity
Predicate locatedIn P40 FINISHED
Object Markazi Province 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: Markazi Province | Statement: [Arak heavy water reactor, locatedIn, Markazi Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markazi Province
Context triple: [Arak heavy water reactor, locatedIn, Markazi Province]
  • A. Markazi Province chosen
    Markazi Province is a central region of Iran known for its industrial cities and strategic location connecting major parts of the country.
  • B. Rehamna Province
    Rehamna Province is an administrative division in central Morocco known for its rural communities and agricultural activities within the Marrakesh-Safi region.
  • C. Chahar Province
    Chahar Province was a former province of northern China that historically encompassed parts of what are now Hebei and Inner Mongolia and served as a strategic frontier region.
  • D. Lorestan Province
    Lorestan Province is a mountainous region in western Iran known for its Lur population, rich history, and scenic landscapes of the Zagros Mountains.
  • E. South Khorasan Province
    South Khorasan Province is an eastern Iranian province formed from the historical region of Khorasan, known for its deserts, saffron production, and border with Afghanistan.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d382400c819092ec0ca0de815888 completed April 18, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:32 a.m.