Triple

T12622084
Position Surface form Disambiguated ID Type / Status
Subject Kotayk Province E301406 entity
Predicate contains P35 FINISHED
Object Tsaghkadzor
Tsaghkadzor is a popular Armenian mountain resort town known for its ski slopes, scenic landscapes, and historical monasteries.
E992565 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: Tsaghkadzor | Statement: [Kotayk Province, contains, Tsaghkadzor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsaghkadzor
Context triple: [Kotayk Province, contains, Tsaghkadzor]
  • A. Nagornaya
    Nagornaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Nagorny District in southern Moscow.
  • B. Koghb
    Koghb is a village in northeastern Armenia known for its historic churches, archaeological sites, and scenic location near the border with Georgia.
  • C. Marmashen
    Marmashen is a rural village in northwestern Armenia known for its proximity to the historic Marmashen Monastery complex.
  • D. Tsitsernakaberd
    Tsitsernakaberd is the official Armenian Genocide memorial complex in Yerevan, Armenia, dedicated to the victims of the 1915 mass killings of Armenians in the Ottoman Empire.
  • E. Zangezur
    Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
  • 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: Tsaghkadzor
Triple: [Kotayk Province, contains, Tsaghkadzor]
Generated description
Tsaghkadzor is a popular Armenian mountain resort town known for its ski slopes, scenic landscapes, and historical monasteries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tsaghkadzor
Target entity description: Tsaghkadzor is a popular Armenian mountain resort town known for its ski slopes, scenic landscapes, and historical monasteries.
  • A. Nagornaya
    Nagornaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Nagorny District in southern Moscow.
  • B. Koghb
    Koghb is a village in northeastern Armenia known for its historic churches, archaeological sites, and scenic location near the border with Georgia.
  • C. Marmashen
    Marmashen is a rural village in northwestern Armenia known for its proximity to the historic Marmashen Monastery complex.
  • D. Tsitsernakaberd
    Tsitsernakaberd is the official Armenian Genocide memorial complex in Yerevan, Armenia, dedicated to the victims of the 1915 mass killings of Armenians in the Ottoman Empire.
  • E. Zangezur
    Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c8671881909a102d28b0e7f603 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed6f79881908872c644a9789f04 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f660294004819089714099a08085f6 completed May 2, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69f6613e31fc8190bdb98f91c9e6c967 completed May 2, 2026, 8:40 p.m.
Created at: April 9, 2026, 5:14 p.m.