Triple

T16347331
Position Surface form Disambiguated ID Type / Status
Subject Preveza Prefecture E396967 entity
Predicate administrativeCenter P1474 FINISHED
Object Preveza E98737 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: Preveza | Statement: [Preveza Prefecture, administrativeCenter, Preveza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Preveza
Context triple: [Preveza Prefecture, administrativeCenter, Preveza]
  • A. Preveza chosen
    Preveza is a coastal city in northwestern Greece known for its strategic location at the entrance of the Ambracian Gulf, its historic old town, and nearby beaches.
  • B. Provadia
    Provadia is a historic town in northeastern Bulgaria known for its ancient salt production and nearby prehistoric settlement, considered one of Europe's earliest urban centers.
  • C. Rissani
    Rissani is a historic town in eastern Morocco, known as a gateway to the Sahara Desert and an important former caravan and trading center.
  • D. Venosa
    Venosa is a historic town in the Basilicata region of southern Italy, known for its ancient Roman and medieval heritage.
  • E. Korca
    Korca is a historic city in southeastern Albania known for its cultural heritage, Orthodox churches, and role as an important regional center.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da1038d88190b8292cfe71bc4f2a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00606fe9dc8190a336dc17f16f0ab4 completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:07 a.m.