Triple

T22120499
Position Surface form Disambiguated ID Type / Status
Subject Ersekë E546652 entity
Predicate nearbyCity P350 FINISHED
Object Leskovik
Leskovik is a small town in southeastern Albania known for its mountainous surroundings and proximity to the Greek border.
E1522864 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: Leskovik | Statement: [Ersekë, nearbyCity, Leskovik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leskovik
Context triple: [Ersekë, nearbyCity, Leskovik]
  • A. Avala
    Avala is a low mountain near Belgrade, Serbia, known for its scenic views, the Avala Tower, and several important monuments.
  • B. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • C. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • D. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • E. Bogovinje
    Bogovinje is a village and municipality in northwestern North Macedonia, situated near Tetovo and known for its predominantly Albanian population.
  • 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: Leskovik
Triple: [Ersekë, nearbyCity, Leskovik]
Generated description
Leskovik is a small town in southeastern Albania known for its mountainous surroundings and proximity to the Greek border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leskovik
Target entity description: Leskovik is a small town in southeastern Albania known for its mountainous surroundings and proximity to the Greek border.
  • A. Avala
    Avala is a low mountain near Belgrade, Serbia, known for its scenic views, the Avala Tower, and several important monuments.
  • B. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • C. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • D. Jurjev
    Jurjev is a historical name for the Estonian city of Tartu, reflecting its past under various regional powers.
  • E. Bogovinje
    Bogovinje is a village and municipality in northwestern North Macedonia, situated near Tetovo and known for its predominantly Albanian population.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12951fcd48190841319cd879c15cb completed April 28, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9eb235e081908ee394e0847c3061 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9fbe9e688190af72e308d32d51de completed May 18, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa027a4008190bbaf5906c43bc894 completed May 18, 2026, 5:14 a.m.
Created at: April 16, 2026, 8:31 p.m.