Triple

T15650680
Position Surface form Disambiguated ID Type / Status
Subject Tripiti E376303 entity
Predicate locatedNear P294 FINISHED
Object Klima
Klima is a traditional seaside fishing village on the Greek island of Milos, known for its colorful syrmata houses built right on the water’s edge.
 E1169677 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: Klima | Statement: [Tripiti, locatedNear, Klima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klima
Context triple: [Tripiti, locatedNear, Klima]
  • A. Climan
    Climan is a surname most notably associated with Sandy Climan, an American media and entertainment industry executive and producer.
  • B. Terra da Garoa
    Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
  • C. Aklim
    Aklim is a town located in the Souss-Massa region of southern Morocco.
  • D. Airth
    Airth is a historic village in central Scotland, known for its proximity to the River Forth and the ruins of Airth Castle.
  • E. Klimavichy
    Klimavichy is a small town in eastern Belarus known for its location within the Mogilev Region and its role as a local administrative and cultural center.
  • 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: Klima
Triple: [Tripiti, locatedNear, Klima]
Generated description
Klima is a traditional seaside fishing village on the Greek island of Milos, known for its colorful syrmata houses built right on the water’s edge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klima
Target entity description: Klima is a traditional seaside fishing village on the Greek island of Milos, known for its colorful syrmata houses built right on the water’s edge.
  • A. Climan
    Climan is a surname most notably associated with Sandy Climan, an American media and entertainment industry executive and producer.
  • B. Terra da Garoa
    Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
  • C. Aklim
    Aklim is a town located in the Souss-Massa region of southern Morocco.
  • D. Airth
    Airth is a historic village in central Scotland, known for its proximity to the River Forth and the ruins of Airth Castle.
  • E. Klimavichy
    Klimavichy is a small town in eastern Belarus known for its location within the Mogilev Region and its role as a local administrative and cultural center.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eeed2d48190a7a8a618d90012d0 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67957ebc8190b187f557bd01d58d completed May 9, 2026, 4:57 p.m.
NEDg Description generation batch_69ff68af38848190975e374b2c8c917b completed May 9, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff69660b6c819082dbdf06db1c8fe3 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:15 a.m.