Triple

T6698068
Position Surface form Disambiguated ID Type / Status
Subject Aetolia-Acarnania E152802 entity
Predicate bordersRegionalUnit P10768 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: [Aetolia-Acarnania, bordersRegionalUnit, Preveza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Preveza
Context triple: [Aetolia-Acarnania, bordersRegionalUnit, 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. 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.
  • C. Avetrana
    Avetrana is a small town and comune in the Apulia region of southern Italy, known for its historic center and proximity to the Ionian Sea.
  • D. Daulida
    Daulida is an alternative name for the ancient Greek town of Daulis in the region of Phocis.
  • E. Litochoro
    Litochoro is a Greek town situated at the foot of Mount Olympus, known as a popular base for hiking and exploring the surrounding national park.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0a6082c819097a4301538399f59 completed March 27, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7bd965881908a128d97f1c94dd0 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:05 p.m.