Triple

T4702505
Position Surface form Disambiguated ID Type / Status
Subject Serres E104307 entity
Predicate nearbyAttraction P3449 FINISHED
Object Lake Kerkini E437037 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: Lake Kerkini | Statement: [Serres, nearbyAttraction, Lake Kerkini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Kerkini
Context triple: [Serres, nearbyAttraction, Lake Kerkini]
  • A. Lake Kerkini chosen
    Lake Kerkini is an artificial reservoir in northern Greece renowned as one of the country’s most important wetlands and birdwatching sites.
  • B. Lake Koroneia
    Lake Koroneia is a shallow, ecologically significant lake in northern Greece that has suffered severe environmental degradation due to pollution and water mismanagement.
  • C. Lake Tuz
    Lake Tuz is a large, shallow hypersaline lake in central Turkey known for its extensive salt flats and ecological importance as a habitat for migratory birds.
  • D. Lake Pamvotida
    Lake Pamvotida is a scenic freshwater lake in northwestern Greece, best known for bordering the city of Ioannina and its historic island settlements.
  • E. Lake Prespa
    Lake Prespa is a high-altitude, tectonic lake in the Balkans shared by North Macedonia, Albania, and Greece, known for its rich biodiversity and scenic, relatively undeveloped surroundings.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63cec7988190b5f1d04d4f95314a completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03cd8cd4819081a7988b5945067f completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.