Triple

T3986468
Position Surface form Disambiguated ID Type / Status
Subject Zangezur uezd E86883 entity
Predicate historicalRegion P915 FINISHED
Object 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.
 E410099 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: Zangezur | Statement: [Zangezur uezd, historicalRegion, Zangezur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zangezur
Context triple: [Zangezur uezd, historicalRegion, Zangezur]
  • A. Khasavyurt
    Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
  • B. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • C. Dashoguz
    Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
  • D. Yozgat
    Yozgat is a city in central Turkey known for its location on the Anatolian plateau and its traditional Anatolian culture and history.
  • E. Cholpon-Ata
    Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
  • 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: Zangezur
Triple: [Zangezur uezd, historicalRegion, Zangezur]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zangezur
Target entity description: 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.
  • A. Khasavyurt
    Khasavyurt is a significant urban center in the Republic of Dagestan, Russia, known as an important regional hub in the North Caucasus.
  • B. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • C. Dashoguz
    Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
  • D. Yozgat
    Yozgat is a city in central Turkey known for its location on the Anatolian plateau and its traditional Anatolian culture and history.
  • E. Cholpon-Ata
    Cholpon-Ata is a popular resort town on the northern shore of Lake Issyk-Kul in Kyrgyzstan, known for its beaches, mountain scenery, and archaeological sites.
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9fe355081909b04662ab44fe2ca completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5628d37a0819090595f083343989e completed March 14, 2026, 1:28 p.m.
NEDg Description generation batch_69b563e6afb081909cec86f922603c7d completed March 14, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5641e09d08190bf83c9a730e1bf34 completed March 14, 2026, 1:35 p.m.
Created at: March 9, 2026, 3:33 p.m.