Triple

T3078343
Position Surface form Disambiguated ID Type / Status
Subject Grammos Mountains E64193 entity
Predicate nearSettlement P3883 FINISHED
Object Ersekë E11539 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: [Grammos Mountains, nearSettlement, Ersekë]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ersekë
Context triple: [Grammos Mountains, nearSettlement, Ersekë]
  • A. Albanne
    Albanne is a small river in the Savoie department of southeastern France that flows through the area around Chambéry.
  • B. Albania chosen
    Albania is a Balkan country in Southeastern Europe known for its mountainous landscapes, Adriatic and Ionian coastlines, and a history shaped by Ottoman rule, communism, and post–Cold War transition.
  • C. Montenegro
    Montenegro is a small Balkan country on the Adriatic Sea, known for its mountainous landscapes, medieval villages, and status as a relatively new independent state in Southeastern Europe.
  • D. Gjakova
    Gjakova is a historic city in western Kosovo known for its Ottoman-era architecture, traditional bazaar, and cultural heritage.
  • E. Kardenakhi
    Kardenakhi is a Georgian village in the Kakheti region renowned for producing high-quality wines under its own appellation.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a86a848190a47ca127cc7e6326 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f890a21c8190bcb78fe5c9ec6e75 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.