Triple

T3318700
Position Surface form Disambiguated ID Type / Status
Subject Lake Sevan E69740 entity
Predicate nearbySettlement P350 FINISHED
Object 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.
E346652 NE FINISHED

How this triple was built (4 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: Sevan | Statement: [Lake Sevan, nearbySettlement, Sevan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevan
Context triple: [Lake Sevan, nearbySettlement, Sevan]
  • A. 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.
  • 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 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.
  • D. Lake Çıldır
    Lake Çıldır is a large high-altitude freshwater lake in northeastern Turkey, known for its scenic beauty, fishing, and winter ice activities.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sevan
Triple: [Lake Sevan, nearbySettlement, Sevan]
Generated description
Sevan is a town in Armenia known for its proximity to Lake Sevan, one of the largest high-altitude freshwater lakes in the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sevan
Target entity description: Sevan is a town in Armenia known for its proximity to Lake Sevan, one of the largest high-altitude freshwater lakes in the world.
  • A. 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.
  • 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 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.
  • D. Lake Çıldır
    Lake Çıldır is a large high-altitude freshwater lake in northeastern Turkey, known for its scenic beauty, fishing, and winter ice activities.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1151f3c8190911af4edac701116 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f40055a48190afe401a488d3ae34 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa0ed27c8190a32c153b44b7b2dd completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b312b902fc819081ec01c3d418fae0 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:11 p.m.