Triple

T2845946
Position Surface form Disambiguated ID Type / Status
Subject Rila Mountains E62583 entity
Predicate hasPeak P8205 FINISHED
Object Malyovitsa
Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
 E328753 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: Malyovitsa | Statement: [Rila Mountains, hasPeak, Malyovitsa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malyovitsa
Context triple: [Rila Mountains, hasPeak, Malyovitsa]
  • A. Borovitskaya
    Borovitskaya is a Moscow Metro station located in the city center, providing key interchange access between several central lines.
  • B. Nagatinskaya
    Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
  • C. Timiryazevskaya
    Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
  • D. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • E. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • 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: Malyovitsa
Triple: [Rila Mountains, hasPeak, Malyovitsa]
Generated description
Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malyovitsa
Target entity description: Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
  • A. Borovitskaya
    Borovitskaya is a Moscow Metro station located in the city center, providing key interchange access between several central lines.
  • B. Nagatinskaya
    Nagatinskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the Nagatinsky Zaton area of southern Moscow.
  • C. Timiryazevskaya
    Timiryazevskaya is a Moscow Metro station serving the northern part of the city on the Serpukhovsko–Timiryazevskaya Line.
  • D. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • E. Chertanovskaya
    Chertanovskaya is a Moscow Metro station serving the Chertanovo district in the city’s south.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf3d00708190966a477fdd855f23 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b20f2e10b0819090455b876abe821b completed March 12, 2026, 12:56 a.m.
NEDg Description generation batch_69b20fb052a48190a3bf1a033752f9f4 completed March 12, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_69b210087190819096e5dc919af46e09 completed March 12, 2026, 12:59 a.m.
Created at: March 6, 2026, 10:02 p.m.