Triple

T1742407
Position Surface form Disambiguated ID Type / Status
Subject Armenian Highlands E38261 entity
Predicate contains P35 FINISHED
Object Lake Sevan E69740 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 Sevan | Statement: [Armenian Highlands, contains, Lake Sevan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Sevan
Context triple: [Armenian Highlands, contains, Lake Sevan]
  • A. Lake Sevan chosen
    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.
  • B. Lake Van
    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.
  • C. Lake Velence
    Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
  • D. 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.
  • E. Ebinur Lake
    Ebinur Lake is a saline endorheic lake in northwest China known for its fluctuating water levels, high salinity, and importance as a habitat for migratory birds.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c6d21c8190809bedaa798e2b14 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0dbc7c081909d637c5a482389ef completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.