Triple

T16668471
Position Surface form Disambiguated ID Type / Status
Subject Lachin E405043 entity
Predicate historicalName P65 FINISHED
Object Berdzor
Berdzor is a town in the strategically important Lachin corridor region between Armenia and Nagorno-Karabakh, known for its contested political status and changing control.
 E1227758 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: Berdzor | Statement: [Lachin, historicalName, Berdzor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berdzor
Context triple: [Lachin, historicalName, Berdzor]
  • A. Halidzor
    Halidzor is a rural village located in Armenia’s southern Syunik Province, known for its mountainous surroundings and proximity to the Tatev Monastery cableway.
  • B. Barsegh
    Barsegh is an Armenian masculine given name with historical and cultural significance in Armenian communities.
  • C. 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.
  • D. Tsaghkadzor
    Tsaghkadzor is a popular Armenian mountain resort town known for its ski slopes, scenic landscapes, and historical monasteries.
  • E. Abovyan
    Abovyan is a town in central Armenia known as an industrial and residential satellite of the capital, Yerevan.
  • 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: Berdzor
Triple: [Lachin, historicalName, Berdzor]
Generated description
Berdzor is a town in the strategically important Lachin corridor region between Armenia and Nagorno-Karabakh, known for its contested political status and changing control.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berdzor
Target entity description: Berdzor is a town in the strategically important Lachin corridor region between Armenia and Nagorno-Karabakh, known for its contested political status and changing control.
  • A. Halidzor
    Halidzor is a rural village located in Armenia’s southern Syunik Province, known for its mountainous surroundings and proximity to the Tatev Monastery cableway.
  • B. Barsegh
    Barsegh is an Armenian masculine given name with historical and cultural significance in Armenian communities.
  • C. 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.
  • D. Tsaghkadzor
    Tsaghkadzor is a popular Armenian mountain resort town known for its ski slopes, scenic landscapes, and historical monasteries.
  • E. Abovyan
    Abovyan is a town in central Armenia known as an industrial and residential satellite of the capital, Yerevan.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9e9a208190afab499897ce4361 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a34852c81908c00ff8e36923cee completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008abfcb4481908efb8a1cb3c0086e completed May 10, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_6a008b55b28c8190bb2d63c7fe0db2cc completed May 10, 2026, 1:42 p.m.
Created at: April 10, 2026, 5:18 a.m.