Triple

T5536462
Position Surface form Disambiguated ID Type / Status
Subject North Lebanon E145174 entity
Predicate hasCity P316 FINISHED
Object Mina
Mina is a coastal city and port in northern Lebanon known for its maritime activities and proximity to Tripoli.
 E531931 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: Mina | Statement: [North Lebanon, hasCity, Mina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mina
Context triple: [North Lebanon, hasCity, Mina]
  • A. Mina
    Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
  • B. Mina
    Mina is a Gbe language of the Niger-Congo family spoken primarily in southern Togo and neighboring regions of West Africa.
  • C. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • D. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • E. Mya
    Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
  • 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: Mina
Triple: [North Lebanon, hasCity, Mina]
Generated description
Mina is a coastal city and port in northern Lebanon known for its maritime activities and proximity to Tripoli.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mina
Target entity description: Mina is a coastal city and port in northern Lebanon known for its maritime activities and proximity to Tripoli.
  • A. Mina
    Mina is a valley and neighborhood near Mecca in Saudi Arabia that serves as a major site for key Hajj rituals, including the symbolic stoning of the devil.
  • B. Mina
    Mina is a Gbe language of the Niger-Congo family spoken primarily in southern Togo and neighboring regions of West Africa.
  • C. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • D. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • E. Mya
    Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb07e748190bea74bbde2d7b8ba completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02814359c8190b868811f22aa568c completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c04441145481909fb7bd26dab129bd completed March 22, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69c044a919ec81909469793af9f837ea completed March 22, 2026, 7:36 p.m.
Created at: March 22, 2026, 3:34 p.m.