Triple

T4537199
Position Surface form Disambiguated ID Type / Status
Subject Kotor E107434 entity
Predicate nearbyCity P350 FINISHED
Object Tivat
Tivat is a coastal town in Montenegro known for its luxury marina Porto Montenegro and proximity to the Bay of Kotor.
 E450141 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: Tivat | Statement: [Kotor, nearbyCity, Tivat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tivat
Context triple: [Kotor, nearbyCity, Tivat]
  • A. 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.
  • B. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
  • C. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • D. Murino
    Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
  • E. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • 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: Tivat
Triple: [Kotor, nearbyCity, Tivat]
Generated description
Tivat is a coastal town in Montenegro known for its luxury marina Porto Montenegro and proximity to the Bay of Kotor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tivat
Target entity description: Tivat is a coastal town in Montenegro known for its luxury marina Porto Montenegro and proximity to the Bay of Kotor.
  • A. 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.
  • B. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
  • C. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • D. Murino
    Murino is a rapidly growing suburban town on the outskirts of Saint Petersburg in northwestern Russia.
  • E. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57b78b8481909d79131723d4be22 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacfb2ba48190b7f1b23785e9d030 completed March 20, 2026, 8:24 p.m.
NEDg Description generation batch_69bdaf867740819090367e5ebd37b4d4 completed March 20, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69bdafeb5e0881909d4ee62b066dee91 completed March 20, 2026, 8:36 p.m.
Created at: March 20, 2026, 1:04 p.m.