Triple

T15913416
Position Surface form Disambiguated ID Type / Status
Subject Gramos Mountains E385903 entity
Predicate nearbySettlement P350 FINISHED
Object Ersekë E546652 NE FINISHED

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: [Gramos Mountains, nearbySettlement, Ersekë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ersekë
Context triple: [Gramos Mountains, nearbySettlement, 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. 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.
  • D. 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.
  • E. Delvinë
    Delvinë is a small historic town in southern Albania known for its diverse cultural heritage and scenic setting near the Greek border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15661046c819097a53de2a3e0443b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb0592b5c8190a4597644864a6bcb completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.