Triple

T15700890
Position Surface form Disambiguated ID Type / Status
Subject Hamadan City Council E380588 entity
Predicate meetsIn P40 FINISHED
Object Hamadan city 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: Hamadan city | Statement: [Hamadan City Council, meetsIn, Hamadan city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamadan city
Context triple: [Hamadan City Council, meetsIn, Hamadan city]
  • A. 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.
  • B. Khorramabad
    Khorramabad is a city in western Iran and the capital of Lorestan Province, known for its mountainous surroundings and historical sites such as Falak-ol-Aflak Castle.
  • C. Zarrin Shahr
    Zarrin Shahr is an industrial city in Iran’s Isfahan Province, known for its steel production and location in the fertile Zayandeh River plain.
  • D. Qazvin
    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.
  • E. Shahrekord
    Shahrekord is a city in western Iran known as the capital of Chaharmahal and Bakhtiari Province and for its high elevation and cool climate.
  • 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_6a018c32b4a88190a07db59965b38890 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 4:45 a.m.