Triple

T631993
Position Surface form Disambiguated ID Type / Status
Subject Islamic world E15944 entity
Predicate hasCulturalCenter P2412 FINISHED
Object Isfahan E68692 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: Isfahan | Statement: [Islamic world, hasCulturalCenter, Isfahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isfahan
Context triple: [Islamic world, hasCulturalCenter, Isfahan]
  • A. Isfahan chosen
    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.
  • 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. Tabriz
    Tabriz is a historic city in northwestern Iran that has long served as a major political, commercial, and cultural center in the region.
  • D. Tehran
    Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
  • E. 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.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec2a4c08190bc5c6ce8a10b0967 completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56ef052308190bfaed448c3737ef6 completed March 2, 2026, 11:05 a.m.
Created at: March 1, 2026, 7:35 p.m.