Triple

T3938203
Position Surface form Disambiguated ID Type / Status
Subject Lake Dojran E90965 entity
Predicate locatedNearSettlement P3883 FINISHED
Object Dojran
Dojran is a town in southeastern North Macedonia near the Greek border, known for its proximity to Lake Dojran and its historical significance dating back to ancient and Ottoman times.
 E408098 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: Dojran | Statement: [Lake Dojran, locatedNearSettlement, Dojran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dojran
Context triple: [Lake Dojran, locatedNearSettlement, Dojran]
  • A. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • B. Gjakova
    Gjakova is a historic city in western Kosovo known for its Ottoman-era architecture, traditional bazaar, and cultural heritage.
  • C. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • D. Tetovo
    Tetovo is a city in northwestern North Macedonia known for its multicultural population, Ottoman-era architecture, and proximity to the Šar Mountains.
  • E. Gabrovo
    Gabrovo is a town in central Bulgaria known for its humor and satire traditions, as well as its historical role in the country’s industrial development.
  • 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: Dojran
Triple: [Lake Dojran, locatedNearSettlement, Dojran]
Generated description
Dojran is a town in southeastern North Macedonia near the Greek border, known for its proximity to Lake Dojran and its historical significance dating back to ancient and Ottoman times.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dojran
Target entity description: Dojran is a town in southeastern North Macedonia near the Greek border, known for its proximity to Lake Dojran and its historical significance dating back to ancient and Ottoman times.
  • A. Monastir
    Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
  • B. Gjakova
    Gjakova is a historic city in western Kosovo known for its Ottoman-era architecture, traditional bazaar, and cultural heritage.
  • C. Pogradec
    Pogradec is a town in southeastern Albania known as a lakeside resort and cultural center on the shores of Lake Ohrid.
  • D. Tetovo
    Tetovo is a city in northwestern North Macedonia known for its multicultural population, Ottoman-era architecture, and proximity to the Šar Mountains.
  • E. Gabrovo
    Gabrovo is a town in central Bulgaria known for its humor and satire traditions, as well as its historical role in the country’s industrial development.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcfd7d48190bbacee8b5b1b5070 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556173f848190bf8b879a7c61a43f completed March 14, 2026, 12:35 p.m.
NEDg Description generation batch_69b5575b1f748190b91f5f1cb4cf9c8b completed March 14, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_69b557d445d081908f48fe3bd06f786e completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:24 p.m.