Triple

T13449560
Position Surface form Disambiguated ID Type / Status
Subject Mavrovo National Park E320572 entity
Predicate hasVillage P4011 FINISHED
Object Lazaropole
Lazaropole is a picturesque mountain village in North Macedonia, known for its traditional architecture, scenic landscapes, and cool alpine climate.
E1040311 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: Lazaropole | Statement: [Mavrovo National Park, hasVillage, Lazaropole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazaropole
Context triple: [Mavrovo National Park, hasVillage, Lazaropole]
  • A. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • B. Lozova
    Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
  • C. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • D. Slobozia
    Slobozia is a city in southeastern Romania that serves as the capital of Ialomița County and an important local administrative and economic center.
  • E. Kostopil
    Kostopil is a town in western Ukraine known for its industrial activity and location within the historical region of Volhynia.
  • 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: Lazaropole
Triple: [Mavrovo National Park, hasVillage, Lazaropole]
Generated description
Lazaropole is a picturesque mountain village in North Macedonia, known for its traditional architecture, scenic landscapes, and cool alpine climate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lazaropole
Target entity description: Lazaropole is a picturesque mountain village in North Macedonia, known for its traditional architecture, scenic landscapes, and cool alpine climate.
  • A. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • B. Lozova
    Lozova is a town in eastern Ukraine that has historically been a strategic railway and military junction.
  • C. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • D. Slobozia
    Slobozia is a city in southeastern Romania that serves as the capital of Ialomița County and an important local administrative and economic center.
  • E. Kostopil
    Kostopil is a town in western Ukraine known for its industrial activity and location within the historical region of Volhynia.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef973b08190a3d7fe1c2a913cff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73999f8388190b2c578e063341178 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73af2b37481908c4d282c1335fe08 completed May 3, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69f73b959de88190959335353242031b completed May 3, 2026, 12:12 p.m.
Created at: April 9, 2026, 9:41 p.m.