Triple

T19587372
Position Surface form Disambiguated ID Type / Status
Subject Yerevan Metro E470137 entity
Predicate hasStation P35 FINISHED
Object Yeritasardakan station
Yeritasardakan station is a central underground stop on the Yerevan Metro system in Armenia’s capital city.
 E1385588 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: Yeritasardakan station | Statement: [Yerevan Metro, hasStation, Yeritasardakan station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yeritasardakan station
Context triple: [Yerevan Metro, hasStation, Yeritasardakan station]
  • A. Hankar station
    Hankar station is a Brussels Metro station on the city's Line 5, serving the Auderghem municipality in southeastern Brussels.
  • B. Barekamutyun station
    Barekamutyun station is a key underground stop on the Yerevan Metro system in Armenia’s capital city.
  • C. Kayaş station
    Kayaş station is a railway station in Ankara, Turkey, serving as one of the stops on the city's Başkentray commuter rail system.
  • D. Koroglu station
    Koroglu station is a metro station in Baku, Azerbaijan, serving as part of the city's Baku Metro rapid transit system.
  • E. Imbiah station
    Imbiah station is a monorail station on Singapore’s Sentosa Island serving the Imbiah attractions area along the Sentosa Express line.
  • 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: Yeritasardakan station
Triple: [Yerevan Metro, hasStation, Yeritasardakan station]
Generated description
Yeritasardakan station is a central underground stop on the Yerevan Metro system in Armenia’s capital city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yeritasardakan station
Target entity description: Yeritasardakan station is a central underground stop on the Yerevan Metro system in Armenia’s capital city.
  • A. Hankar station
    Hankar station is a Brussels Metro station on the city's Line 5, serving the Auderghem municipality in southeastern Brussels.
  • B. Barekamutyun station chosen
    Barekamutyun station is a key underground stop on the Yerevan Metro system in Armenia’s capital city.
  • C. Kayaş station
    Kayaş station is a railway station in Ankara, Turkey, serving as one of the stops on the city's Başkentray commuter rail system.
  • D. Koroglu station
    Koroglu station is a metro station in Baku, Azerbaijan, serving as part of the city's Baku Metro rapid transit system.
  • E. Imbiah station
    Imbiah station is a monorail station on Singapore’s Sentosa Island serving the Imbiah attractions area along the Sentosa Express line.
  • F. None of above.

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_6a0771a99edc8190b2ba4fad279109eb completed May 15, 2026, 7:19 p.m.
NEDg Description generation batch_6a0772ef5f64819096d850a4a2347cd4 completed May 15, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_6a0773543aa881909cf03e024387a595 completed May 15, 2026, 7:26 p.m.
Created at: April 10, 2026, 1:43 p.m.