Triple

T14968633
Position Surface form Disambiguated ID Type / Status
Subject Giżycko E373257 entity
Predicate hasNearbyLake P17985 FINISHED
Object Lake Niegocin E1130104 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 Niegocin | Statement: [Giżycko, hasNearbyLake, Lake Niegocin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Niegocin
Context triple: [Giżycko, hasNearbyLake, Lake Niegocin]
  • A. Lake Niegocin chosen
    Lake Niegocin is a large Masurian lake in northeastern Poland, popular for sailing and water recreation.
  • B. Jasna Lake
    Jasna Lake is a picturesque alpine lake in northwestern Slovenia, known for its clear turquoise water and scenic mountain backdrop near the resort town of Kranjska Gora.
  • C. Zănoaga Lake
    Zănoaga Lake is a high-altitude glacial lake in Romania’s Retezat Mountains, noted for its great depth and scenic alpine surroundings.
  • D. Vrtac Lake
    Vrtac Lake is a small natural lake located near the city of Nikšić in Montenegro, known for its scenic surroundings and local recreational use.
  • E. Lake Rāzna
    Lake Rāzna is one of Latvia’s largest lakes, located in the Latgale region and known for its scenic landscapes and ecological significance.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69febfd3ebd08190a2b7c70c2ba6deb3 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 2:48 a.m.