Triple

T7501114
Position Surface form Disambiguated ID Type / Status
Subject Tirana County E177261 entity
Predicate contains P35 FINISHED
Object Vorë
Vorë is a small municipality and town in central Albania, situated near the capital Tirana and serving as a local administrative and transport hub in the region.
 E669353 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: Vorë | Statement: [Tirana County, contains, Vorë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vorë
Context triple: [Tirana County, contains, Vorë]
  • A. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • B. Lushnjë
    Lushnjë is a city in central Albania known for its agricultural importance and role in the country’s political history.
  • C. Tepelenë
    Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
  • D. Kavajë
    Kavajë is a city in western Albania known for its historical role in the country’s independence movement and its proximity to the Adriatic coast.
  • E. Peshkopi
    Peshkopi is a small town in northeastern Albania known as a regional center near the border with North Macedonia and the Korab mountain range.
  • 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: Vorë
Triple: [Tirana County, contains, Vorë]
Generated description
Vorë is a small municipality and town in central Albania, situated near the capital Tirana and serving as a local administrative and transport hub in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vorë
Target entity description: Vorë is a small municipality and town in central Albania, situated near the capital Tirana and serving as a local administrative and transport hub in the region.
  • A. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • B. Lushnjë
    Lushnjë is a city in central Albania known for its agricultural importance and role in the country’s political history.
  • C. Tepelenë
    Tepelenë is a small town in southern Albania, known historically as the birthplace of Ottoman Albanian ruler Ali Pasha and for its strategic position near the Vjosa River.
  • D. Kavajë
    Kavajë is a city in western Albania known for its historical role in the country’s independence movement and its proximity to the Adriatic coast.
  • E. Peshkopi
    Peshkopi is a small town in northeastern Albania known as a regional center near the border with North Macedonia and the Korab mountain range.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f59aabb8819085bdbe9c793d5b8b completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84608021481908ce58a131d75188b completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c846ee823c8190b5cc8b8cbef8a789 completed March 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c8476712108190aa35327e06c81896 completed March 28, 2026, 9:25 p.m.
Created at: March 27, 2026, 3:44 p.m.