Triple

T8392733
Position Surface form Disambiguated ID Type / Status
Subject Sassanian Armenia E197980 entity
Predicate significantPlace P1098 FINISHED
Object Ayrarat
Ayrarat was the central and most important province of ancient Armenia, encompassing the Ararat plain and serving as a key political and cultural heartland.
 E730928 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: Ayrarat | Statement: [Sassanian Armenia, significantPlace, Ayrarat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ayrarat
Context triple: [Sassanian Armenia, significantPlace, Ayrarat]
  • A. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • B. Ayvansaray
    Ayvansaray is a historic neighborhood on the Golden Horn in Istanbul, known for its old city walls, traditional wooden houses, and rich Byzantine and Ottoman heritage.
  • C. Arak
    Arak is a major industrial city in central Iran known for its manufacturing sector and strategic economic importance.
  • D. Hashtgerd
    Hashtgerd is a city in northern Iran that serves as an important urban center and gateway within Alborz Province, located west of Tehran.
  • E. Chardakhlu
    Chardakhlu is a village in the South Caucasus historically known as the birthplace of prominent Soviet Armenian military commander Ivan Bagramyan.
  • 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: Ayrarat
Triple: [Sassanian Armenia, significantPlace, Ayrarat]
Generated description
Ayrarat was the central and most important province of ancient Armenia, encompassing the Ararat plain and serving as a key political and cultural heartland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ayrarat
Target entity description: Ayrarat was the central and most important province of ancient Armenia, encompassing the Ararat plain and serving as a key political and cultural heartland.
  • A. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • B. Ayvansaray
    Ayvansaray is a historic neighborhood on the Golden Horn in Istanbul, known for its old city walls, traditional wooden houses, and rich Byzantine and Ottoman heritage.
  • C. Arak
    Arak is a major industrial city in central Iran known for its manufacturing sector and strategic economic importance.
  • D. Hashtgerd
    Hashtgerd is a city in northern Iran that serves as an important urban center and gateway within Alborz Province, located west of Tehran.
  • E. Chardakhlu
    Chardakhlu is a village in the South Caucasus historically known as the birthplace of prominent Soviet Armenian military commander Ivan Bagramyan.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8184788081909e9857afff629985 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde856a6548190b46e0d8e5cda381b completed April 2, 2026, 3:53 a.m.
NEDg Description generation batch_69cdebfc63e8819087f5c1d588b58e21 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded77618c81909e8786ccd2f3e4b6 completed April 2, 2026, 4:15 a.m.
Created at: March 30, 2026, 6:03 p.m.