Triple

T15517849
Position Surface form Disambiguated ID Type / Status
Subject Vlora Declaration E368879 entity
Predicate signatory P173 FINISHED
Object Syrja bej Vlora
Syrja bej Vlora was an Albanian statesman and nationalist figure involved in the country’s early independence movement.
E1162078 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: Syrja bej Vlora | Statement: [Vlora Declaration, signatory, Syrja bej Vlora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syrja bej Vlora
Context triple: [Vlora Declaration, signatory, Syrja bej Vlora]
  • A. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • B. Delvinë
    Delvinë is a small historic town in southern Albania known for its diverse cultural heritage and scenic setting near the Greek border.
  • C. Sarandë
    Sarandë is a coastal city in southern Albania on the Ionian Sea, known for its beaches, tourism, and proximity to the UNESCO World Heritage site of Butrint.
  • D. 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.
  • E. Durrës Beach
    Durrës Beach is a popular sandy seaside resort on the Adriatic coast of Albania, known for its long shoreline, warm waters, and proximity to the historic city of Durrës.
  • 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: Syrja bej Vlora
Triple: [Vlora Declaration, signatory, Syrja bej Vlora]
Generated description
Syrja bej Vlora was an Albanian statesman and nationalist figure involved in the country’s early independence movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Syrja bej Vlora
Target entity description: Syrja bej Vlora was an Albanian statesman and nationalist figure involved in the country’s early independence movement.
  • A. Vurës
    Vurës is an Oceanic language spoken on the island of Vanua Lava in northern Vanuatu.
  • B. Delvinë
    Delvinë is a small historic town in southern Albania known for its diverse cultural heritage and scenic setting near the Greek border.
  • C. Sarandë
    Sarandë is a coastal city in southern Albania on the Ionian Sea, known for its beaches, tourism, and proximity to the UNESCO World Heritage site of Butrint.
  • D. 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.
  • E. Durrës Beach
    Durrës Beach is a popular sandy seaside resort on the Adriatic coast of Albania, known for its long shoreline, warm waters, and proximity to the historic city of Durrës.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04033303c8190a87b6384f68a6921 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5111648190a61fc87170b0d93c completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3f075bb881908c254137ca7c3f9f completed May 9, 2026, 2:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff3f87f788819080eccae52b0df145 completed May 9, 2026, 2:07 p.m.
Created at: April 10, 2026, 4:03 a.m.