Triple

T14127384
Position Surface form Disambiguated ID Type / Status
Subject Isfahan region E340068 entity
Predicate contains P35 FINISHED
Object City of 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: City of Isfahan | Statement: [Isfahan region, contains, City of Isfahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Isfahan
Context triple: [Isfahan region, contains, City of 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. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • C. Kashan
    Kashan is an Iranian city renowned for its rich history, traditional architecture, and production of high-quality Persian carpets.
  • D. Sultaniyeh
    Sultaniyeh is a historic city in northwestern Iran best known for its UNESCO-listed Ilkhanid-era mausoleum, one of the largest brick domes in the world.
  • E. 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.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0c833081908458e4eaee689df7 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.