Triple

T15700863
Position Surface form Disambiguated ID Type / Status
Subject Hamadan City Council E380588 entity
Predicate jurisdiction P82 FINISHED
Object City of Hamadan E78489 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 Hamadan | Statement: [Hamadan City Council, jurisdiction, City of Hamadan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Hamadan
Context triple: [Hamadan City Council, jurisdiction, City of Hamadan]
  • A. ancient city of Hamadan
    The ancient city of Hamadan is one of Iran’s oldest urban centers, traditionally identified with the Median capital Ecbatana and renowned for its rich archaeological and historical heritage.
  • B. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • C. 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.
  • D. Hamadan chosen
    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.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6d71308190971c10c599da9645 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59535908190a3d085a5e74b06e8 completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:45 a.m.