Triple

T4908759
Position Surface form Disambiguated ID Type / Status
Subject Lovćen National Park E109978 entity
Predicate contains P35 FINISHED
Object Štirovnik
Štirovnik is the highest peak of Montenegro’s Lovćen mountain range, known for its panoramic views over the Adriatic coast and the surrounding national park.
 E478557 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: Štirovnik | Statement: [Lovćen National Park, contains, Štirovnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Štirovnik
Context triple: [Lovćen National Park, contains, Štirovnik]
  • A. Štrkovec
    Štrkovec is a residential neighborhood and cadastral area within the Ružinov borough of Bratislava, Slovakia.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Mojstrovka
    Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
  • D. Smokvica
    Smokvica is a village located in the Gevgelija region of southeastern North Macedonia.
  • E. Štúrovo
    Štúrovo is a Slovak town on the Danube River opposite Esztergom, Hungary, known for its cross-border bridge and thermal spa tourism.
  • 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: Štirovnik
Triple: [Lovćen National Park, contains, Štirovnik]
Generated description
Štirovnik is the highest peak of Montenegro’s Lovćen mountain range, known for its panoramic views over the Adriatic coast and the surrounding national park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Štirovnik
Target entity description: Štirovnik is the highest peak of Montenegro’s Lovćen mountain range, known for its panoramic views over the Adriatic coast and the surrounding national park.
  • A. Štrkovec
    Štrkovec is a residential neighborhood and cadastral area within the Ružinov borough of Bratislava, Slovakia.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Mojstrovka
    Mojstrovka is a prominent mountain peak in the Julian Alps of Slovenia, popular with hikers and climbers for its scenic alpine views.
  • D. Smokvica
    Smokvica is a village located in the Gevgelija region of southeastern North Macedonia.
  • E. Štúrovo
    Štúrovo is a Slovak town on the Danube River opposite Esztergom, Hungary, known for its cross-border bridge and thermal spa tourism.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e765094819099481f4f2dd7c47d completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fe098b081908e17d6d349b76364 completed March 21, 2026, 10:16 a.m.
NEDg Description generation batch_69be7095dc8c8190bdda64e99232fe1e completed March 21, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_69be710df238819085b0a873e23ecfd9 completed March 21, 2026, 10:21 a.m.
Created at: March 20, 2026, 1:29 p.m.