Triple

T14835801
Position Surface form Disambiguated ID Type / Status
Subject Hayravank Monastery E348826 entity
Predicate locatedNear P294 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: [Hayravank Monastery, locatedNear, Lake Sevan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Sevan
Context triple: [Hayravank Monastery, locatedNear, 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. Sevan
    Sevan is a town in Armenia known for its proximity to Lake Sevan, one of the largest high-altitude freshwater lakes in the world.
  • C. 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.
  • 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 Tuz
    Lake Tuz is a large, shallow hypersaline lake in central Turkey known for its extensive salt flats and ecological 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3216fc8190b79740a993b98cb3 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 1:52 a.m.