Triple

T14752821
Position Surface form Disambiguated ID Type / Status
Subject Sevan E346652 entity
Predicate administrativeCenterOf P383 FINISHED
Object Sevan Municipality E1117421 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: Sevan Municipality | Statement: [Sevan, administrativeCenterOf, Sevan Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sevan Municipality
Context triple: [Sevan, administrativeCenterOf, Sevan Municipality]
  • A. Sevan Municipality chosen
    Sevan Municipality is an administrative community centered around the town of Sevan in eastern Armenia, known for its proximity to Lake Sevan and its role within Gegharkunik Province.
  • B. Shoghakat Municipality
    Shoghakat Municipality is a local administrative community located within Armenia’s Gegharkunik Province.
  • C. Geghamasar Municipality
    Geghamasar Municipality is a local administrative community located within Armenia’s Gegharkunik Province.
  • D. town of Sevan
    The town of Sevan is a lakeside settlement in Armenia known as the main gateway to Lake Sevan and its historic monasteries.
  • E. Kotayk Province
    Kotayk Province is a central region of Armenia known for its mountainous landscapes, historic monasteries like Geghard, and the popular resort town of Tsaghkadzor.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38894a2481908dd219ecaa7f3a3c completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:30 a.m.