Triple

T15256660
Position Surface form Disambiguated ID Type / Status
Subject Qazvin County E364662 entity
Predicate hasHistoricCenter P295 FINISHED
Object city of Qazvin E237018 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 Qazvin | Statement: [Qazvin County, hasHistoricCenter, city of Qazvin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Qazvin
Context triple: [Qazvin County, hasHistoricCenter, city of Qazvin]
  • A. Qazvin, Iran
    Qazvin is a historic city in northwestern Iran known for its rich Persian architectural heritage, including numerous mosques, caravanserais, and traditional bazaars.
  • B. Qazvin chosen
    Qazvin is a historic city in northwestern Iran known for its rich cultural heritage, traditional architecture, and role as a former capital of the Persian Empire.
  • C. Kashan
    Kashan is an Iranian city renowned for its rich history, traditional architecture, and production of high-quality Persian carpets.
  • D. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • E. Qaem Shahr
    Qaem Shahr is a major industrial and commercial city in northern Iran, located in the lush, Caspian coastal region of Mazandaran.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084b97908190b3bf7ea7bd75bdc0 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f7bd2081909c003deb3a692f18 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.