Triple

T1782875
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Urartu E39327 entity
Predicate centeredAround P1939 FINISHED
Object Lake Van E193071 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 Van | Statement: [Kingdom of Urartu, centeredAround, Lake Van]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Van
Context triple: [Kingdom of Urartu, centeredAround, Lake Van]
  • A. Lake Van chosen
    Lake Van is the largest lake in Turkey, a saline endorheic lake renowned for its high altitude, unique ecosystem, and historical Armenian cultural sites along its shores.
  • B. Lake Orta
    Lake Orta is a picturesque glacial lake in northern Italy, renowned for its tranquil atmosphere, historic lakeside villages, and the island of San Giulio.
  • C. Lake Sevan
    Lake Sevan is a large high-altitude freshwater lake in eastern Armenia, renowned as one of the country’s most important natural and cultural landmarks.
  • D. Lake Urmia
    Lake Urmia is a large, historically significant salt lake in northwestern Iran known for its dramatic shrinkage due to climate change and water mismanagement.
  • E. Lake Velence
    Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e4cf108190891338052b581ae8 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5cbefec8190940cf2a4f692394e completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.