Triple

T14968634
Position Surface form Disambiguated ID Type / Status
Subject Giżycko E373257 entity
Predicate hasNearbyLake P17985 FINISHED
Object Lake Kisajno E1138007 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 Kisajno | Statement: [Giżycko, hasNearbyLake, Lake Kisajno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Kisajno
Context triple: [Giżycko, hasNearbyLake, Lake Kisajno]
  • A. Lake Kisajno chosen
    Lake Kisajno is a scenic Masurian lake in northeastern Poland, popular for sailing, kayaking, and lakeside recreation.
  • B. Lake Koka
    Lake Koka is a man-made reservoir in Ethiopia’s central Rift Valley, created by the Koka Dam on the Awash River and used for hydroelectric power, irrigation, and fishing.
  • C. 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.
  • D. Popovo Lake
    Popovo Lake is a prominent glacial lake in Bulgaria, known as one of the largest and most scenic high-altitude lakes in the Pirin Mountains.
  • E. Lake Turano
    Lake Turano is an artificial lake in the Lazio region of central Italy, known for its scenic mountain setting and medieval villages along its shores.
  • 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_69fec8741c048190b549782f49969f6a completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 2:48 a.m.