Triple

T274556
Position Surface form Disambiguated ID Type / Status
Subject Tehran E5216 entity
Predicate hasLandmark P105 FINISHED
Object Grand Bazaar of Tehran E30279 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: Grand Bazaar of Tehran | Statement: [Tehran, hasLandmark, Grand Bazaar of Tehran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grand Bazaar of Tehran
Context triple: [Tehran, hasLandmark, Grand Bazaar of Tehran]
  • A. Grand Bazaar chosen
    The Grand Bazaar is one of the world’s largest and oldest covered markets, famous for its maze-like alleys filled with shops selling carpets, jewelry, spices, and traditional crafts.
  • B. Khan el-Khalili
    Khan el-Khalili is a historic bazaar and souq in Cairo renowned for its bustling markets, traditional crafts, and vibrant atmosphere.
  • C. Sa’dabad Complex
    Sa’dabad Complex is a vast historical and cultural palace complex in northern Tehran that once served as a royal residence and now functions as a museum and public attraction.
  • D. Golestan Palace
    Golestan Palace is a historic royal complex in central Tehran renowned for its Qajar-era architecture, ornate halls, and UNESCO World Heritage status.
  • E. Hamra Street
    Hamra Street is a major commercial and cultural thoroughfare in Beirut, Lebanon, known for its shops, cafes, nightlife, and vibrant urban life.
  • 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_69a257e6c8788190987dfe705ca2912a completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25dd1cdf881909c2c9b77b7f88684 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3a5cfc9348190b81b728266aeeb0b completed March 1, 2026, 2:34 a.m.
Created at: Feb. 28, 2026, 2:59 a.m.