Triple

T21113459
Position Surface form Disambiguated ID Type / Status
Subject Sazan Island E520228 entity
Predicate nearCity P350 FINISHED
Object Vlora NE NERFINISHED

How this triple was built (2 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: Vlora | Statement: [Sazan Island, nearCity, Vlora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vlora
Context triple: [Sazan Island, nearCity, Vlora]
  • A. Vlora chosen
    Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
  • B. Durrës
    Durrës is a major port city on the Adriatic coast of Albania, historically significant as a strategic maritime gateway and one of the country’s oldest urban centers.
  • C. Scodra
    Scodra was an ancient Illyrian city that served as the political and cultural center of the Illyrian kingdom under King Gentius, located near present-day Shkodër in Albania.
  • D. 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.
  • E. Lezhë
    Lezhë is a historic town in northwestern Albania, known as the site of the League of Lezhë and for its cultural and archaeological heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72103b3888190a19e9a40f01fb439 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.