Triple

T14554537
Position Surface form Disambiguated ID Type / Status
Subject Iraq-i Ajam E341504 entity
Predicate hasMajorCity P316 FINISHED
Object Mahallat
Mahallat is a city in central Iran known for its flower cultivation, hot springs, and stone-cutting industry.
E1106352 NE FINISHED

How this triple was built (4 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: Mahallat | Statement: [Iraq-i Ajam, hasMajorCity, Mahallat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahallat
Context triple: [Iraq-i Ajam, hasMajorCity, Mahallat]
  • A. Mahli
    Mahli is a biblical figure from the Hebrew Bible, known as one of the Levites and a descendant of Levi through Merari.
  • B. Mukalla
    Mukalla is a major port city on Yemen’s southern coast and the capital of the Hadhramaut Governorate.
  • C. Místek
    Místek is a town in the Czech Republic that now forms part of the city of Frýdek-Místek following their administrative merger.
  • D. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • E. Bahdinan region
    The Bahdinan region is a historical and cultural area in northern Iraqi Kurdistan traditionally associated with the Behdini-speaking Kurds.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mahallat
Triple: [Iraq-i Ajam, hasMajorCity, Mahallat]
Generated description
Mahallat is a city in central Iran known for its flower cultivation, hot springs, and stone-cutting industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mahallat
Target entity description: Mahallat is a city in central Iran known for its flower cultivation, hot springs, and stone-cutting industry.
  • A. Mahli
    Mahli is a biblical figure from the Hebrew Bible, known as one of the Levites and a descendant of Levi through Merari.
  • B. Mukalla
    Mukalla is a major port city on Yemen’s southern coast and the capital of the Hadhramaut Governorate.
  • C. Místek
    Místek is a town in the Czech Republic that now forms part of the city of Frýdek-Místek following their administrative merger.
  • D. Tivissa
    Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
  • E. Bahdinan region
    The Bahdinan region is a historical and cultural area in northern Iraqi Kurdistan traditionally associated with the Behdini-speaking Kurds.
  • F. None of above. chosen

Provenance (5 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f00cec8190a7b6482d18b9a216 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab9a5ac81908779a3c8701353fa completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8be7d8988190807d4db477b91de0 completed May 8, 2026, 7:08 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d4f2e848190a3c4c423c0ffed50 completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.