Triple

T19696984
Position Surface form Disambiguated ID Type / Status
Subject Korçë region E472985 entity
Predicate contains P35 FINISHED
Object Ersekë 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: Ersekë | Statement: [Korçë region, contains, Ersekë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ersekë
Context triple: [Korçë region, contains, Ersekë]
  • A. Ersekë chosen
    Ersekë is a small town in southeastern Albania known for its mountainous surroundings and proximity to the Greek border.
  • B. Kardhiq
    Kardhiq is a small village in southern Albania known for its historical significance and traditional stone architecture within Gjirokastër County.
  • C. Qafë Thanë
    Qafë Thanë is a mountain pass and border crossing point between Albania and North Macedonia, serving as a key transit route in the southeastern Balkans.
  • D. Palasë
    Palasë is a coastal village in southern Albania known for its scenic beaches, clear Ionian waters, and proximity to the Llogara Pass.
  • E. Mali i Gjerë
    Mali i Gjerë is a prominent mountain range in southern Albania known for its rugged limestone peaks overlooking the historic city of Gjirokastër.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6421527b08190858788265043792d completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.