Triple

T19587371
Position Surface form Disambiguated ID Type / Status
Subject Yerevan Metro E470137 entity
Predicate hasStation P35 FINISHED
Object Marshal Baghramyan station
Marshal Baghramyan station is a metro station on the Yerevan Metro system in Armenia’s capital city.
E1385589 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: Marshal Baghramyan station | Statement: [Yerevan Metro, hasStation, Marshal Baghramyan station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshal Baghramyan station
Context triple: [Yerevan Metro, hasStation, Marshal Baghramyan station]
  • A. Yerevan railway station
    Yerevan railway station is the main railway terminal in Armenia’s capital, serving as a key hub for domestic and international train services, including routes to neighboring Georgia.
  • B. Nariman Narimanov station
    Nariman Narimanov station is a metro station on the Baku Metro system in Baku, Azerbaijan, named after the Azerbaijani revolutionary and statesman Nariman Narimanov.
  • C. Hazi Aslanov station
    Hazi Aslanov station is a terminal metro station on the Baku Metro system in Baku, Azerbaijan.
  • D. Icherisheher station
    Icherisheher station is a metro station on the Baku Metro system serving the historic Old City area of Baku, Azerbaijan.
  • E. Beruniy station
    Beruniy station is a metro station in Tashkent, Uzbekistan, serving as part of the city's Tashkent Metro rapid transit system.
  • 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: Marshal Baghramyan station
Triple: [Yerevan Metro, hasStation, Marshal Baghramyan station]
Generated description
Marshal Baghramyan station is a metro station on the Yerevan Metro system in Armenia’s capital city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marshal Baghramyan station
Target entity description: Marshal Baghramyan station is a metro station on the Yerevan Metro system in Armenia’s capital city.
  • A. Yerevan railway station
    Yerevan railway station is the main railway terminal in Armenia’s capital, serving as a key hub for domestic and international train services, including routes to neighboring Georgia.
  • B. Nariman Narimanov station
    Nariman Narimanov station is a metro station on the Baku Metro system in Baku, Azerbaijan, named after the Azerbaijani revolutionary and statesman Nariman Narimanov.
  • C. Hazi Aslanov station
    Hazi Aslanov station is a terminal metro station on the Baku Metro system in Baku, Azerbaijan.
  • D. Icherisheher station
    Icherisheher station is a metro station on the Baku Metro system serving the historic Old City area of Baku, Azerbaijan.
  • E. Beruniy station
    Beruniy station is a metro station in Tashkent, Uzbekistan, serving as part of the city's Tashkent Metro rapid transit system.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64052f61c81908bb49927d4246030 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f12fe008190bf2aaf7c63c44467 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a0760583b588190b8f648acc26bc1ae completed May 15, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0761223cc081908e08a33eda54d222 completed May 15, 2026, 6:08 p.m.
Created at: April 10, 2026, 1:43 p.m.