Triple

T11422449
Position Surface form Disambiguated ID Type / Status
Subject Trabzon Province E270657 entity
Predicate contains P35 FINISHED
Object Uzungöl E751364 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: Uzungöl | Statement: [Trabzon Province, contains, Uzungöl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uzungöl
Context triple: [Trabzon Province, contains, Uzungöl]
  • A. Uzungöl chosen
    Uzungöl is a scenic mountain lake and village in Turkey’s Trabzon Province, famed for its lush green surroundings, wooden houses, and popularity as a nature and eco-tourism destination.
  • B. Mirik Lake
    Mirik Lake is a scenic artificial lake in the hill town of Mirik, surrounded by forests and gardens and popular for boating and leisure walks amid views of the Eastern Himalayas.
  • C. Boeri Lake
    Boeri Lake is a high-altitude crater lake in Dominica, known for its cool, misty setting and scenic hiking trail within Morne Trois Pitons National Park.
  • D. Hámori Lake
    Hámori Lake is a scenic artificial lake in the Bükk Mountains of northeastern Hungary, popular for recreation and nature tourism near the city of Miskolc.
  • E. Funtensee
    Funtensee is a small alpine lake in the Berchtesgaden Alps of Bavaria, Germany, known for recording some of the country’s lowest temperatures.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8a1e88c8190994bea88a0490e60 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.