Triple

T13045265
Position Surface form Disambiguated ID Type / Status
Subject Turkish Wall at Perekop E327301 entity
Predicate nearbyWaterBody P1094 FINISHED
Object Syvash E64776 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: Syvash | Statement: [Turkish Wall at Perekop, nearbyWaterBody, Syvash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syvash
Context triple: [Turkish Wall at Perekop, nearbyWaterBody, Syvash]
  • A. Syvash chosen
    Syvash is a large, shallow system of highly saline lagoons on the western coast of the Sea of Azov, bordering Crimea and known for its marshy, mudflat landscape.
  • B. Onega
    Onega is a small town in Arkhangelsk Oblast, northwestern Russia, situated near the mouth of the Onega River on the White Sea coast.
  • C. Sivash
    Sivash is a large system of shallow, salty lagoons on the western shore of the Sea of Azov, separating the Crimean Peninsula from mainland Ukraine.
  • D. Uglich Reservoir
    The Uglich Reservoir is a large artificial lake on the Volga River in Russia, created by the Uglich Hydroelectric Station and used for power generation, navigation, and water regulation.
  • E. Lake Potanipo
    Lake Potanipo is a small recreational lake in Brookline, New Hampshire, known for activities like boating, fishing, and swimming.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d98050157c8190bb8c640b759ac2b7 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76b98a7c48190a2ca0ec7b9bd8d19 completed May 3, 2026, 3:36 p.m.
Created at: April 9, 2026, 8:56 p.m.