Triple

T18054816
Position Surface form Disambiguated ID Type / Status
Subject Kozani Prefecture E432009 entity
Predicate hasTown P847 FINISHED
Object Siatista 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: Siatista | Statement: [Kozani Prefecture, hasTown, Siatista]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siatista
Context triple: [Kozani Prefecture, hasTown, Siatista]
  • A. Siatista chosen
    Siatista is a historic town in Western Macedonia, Greece, known for its traditional mansions, fur trade, and cultural heritage.
  • B. Siasi
    Siasi is an island municipality in the southern Philippines known for its predominantly Muslim population, fishing-based economy, and location within the Sulu Sea.
  • C. Stiattesi
    Stiattesi is an Italian surname, notably borne by Prudenzia Stiattesi, a historical figure from Italy.
  • D. Sitte
    Sitte is a German-language surname most notably associated with Austrian architect and urban theorist Camillo Sitte.
  • E. Sijilmasa
    Sijilmasa was a medieval Moroccan oasis city that flourished as a key commercial hub linking North Africa with sub-Saharan gold and trade networks.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c101dfb081908dc66f4b4967d8c7 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.