Triple

T18613768
Position Surface form Disambiguated ID Type / Status
Subject Banu Najjar E454965 entity
Predicate locatedIn P40 FINISHED
Object Medina
Medina is a historic city in western Saudi Arabia revered as the second holiest site in Islam and home to the Prophet Muhammad’s mosque and tomb.
E28127 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: Medina | Statement: [Banu Najjar, locatedIn, Medina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medina
Context triple: [Banu Najjar, locatedIn, Medina]
  • A. Medina
    Medina is a small suburban city in Minnesota known for its rural character, parks, and proximity to the Minneapolis–Saint Paul metropolitan area.
  • B. Medina
    Medina is a common Spanish-origin surname found across the Spanish-speaking world and among their diasporas.
  • C. Medina
    Medina was a Spanish women's magazine associated with the Franco-era Sección Femenina that promoted traditional gender roles and nationalist ideology.
  • D. Medina
    Medina is a municipality in the Cundinamarca Department of Colombia, known for its rural landscapes and location within the Alto Guavio region.
  • E. Medina
    Medina is a coastal municipality in the Philippines known for its scenic shoreline along Macajalar Bay and its largely rural, agriculture-based communities.
  • 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: Medina
Triple: [Banu Najjar, locatedIn, Medina]
Generated description
Medina is a historic city in western Saudi Arabia revered as the second holiest site in Islam and home to the Prophet Muhammad’s mosque and tomb.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Medina
Target entity description: Medina is a historic city in western Saudi Arabia revered as the second holiest site in Islam and home to the Prophet Muhammad’s mosque and tomb.
  • A. Medina chosen
    Medina is a holy city in western Saudi Arabia that is revered in Islam as the site of the Prophet Muhammad’s mosque and tomb and the second-holiest city after Mecca.
  • B. Medina
    Medina is an affluent residential city on the eastern shore of Lake Washington in Washington State, known for its waterfront homes and as the home of several prominent tech executives.
  • C. Medina
    Medina is a small suburban city in Minnesota known for its rural character, parks, and proximity to the Minneapolis–Saint Paul metropolitan area.
  • D. Medina
    Medina is a coastal municipality in the Philippines known for its scenic shoreline along Macajalar Bay and its largely rural, agriculture-based communities.
  • E. Medina
    Medina is a small unincorporated community and census-designated place in Bandera County, Texas, known for its rural Hill Country setting and apple orchards.
  • F. None of above.

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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d03feb88190bbd8889273d82f7f completed April 19, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05038c4d408190acb54ceaeaf470c5 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a05065fcdd8819083644c9bceb556c9 completed May 13, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0506f2ff9c81909995a299641c6c37 completed May 13, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:45 a.m.