Triple

T11526022
Position Surface form Disambiguated ID Type / Status
Subject Razavi Khorasan Province E273296 entity
Predicate containsCity P294 FINISHED
Object Bardaskan
Bardaskan is a city in northeastern Iran known for its agricultural activities and location within Razavi Khorasan Province.
 E930228 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: Bardaskan | Statement: [Razavi Khorasan Province, containsCity, Bardaskan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bardaskan
Context triple: [Razavi Khorasan Province, containsCity, Bardaskan]
  • A. Baraolt
    Baraolt is a small town in central Romania, located in Covasna County within the historical region of Transylvania.
  • B. Busáras
    Busáras is Dublin’s central bus station and a major public transport hub, serving intercity buses and connecting with the city’s Luas light rail system.
  • C. Skardon
    Skardon is a surname most notably associated with Ben Skardon, an American World War II veteran and Bataan Death March survivor.
  • D. Bannik
    Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
  • E. Battir
    Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
  • 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: Bardaskan
Triple: [Razavi Khorasan Province, containsCity, Bardaskan]
Generated description
Bardaskan is a city in northeastern Iran known for its agricultural activities and location within Razavi Khorasan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bardaskan
Target entity description: Bardaskan is a city in northeastern Iran known for its agricultural activities and location within Razavi Khorasan Province.
  • A. Baraolt
    Baraolt is a small town in central Romania, located in Covasna County within the historical region of Transylvania.
  • B. Busáras
    Busáras is Dublin’s central bus station and a major public transport hub, serving intercity buses and connecting with the city’s Luas light rail system.
  • C. Skardon
    Skardon is a surname most notably associated with Ben Skardon, an American World War II veteran and Bataan Death March survivor.
  • D. Bannik
    Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
  • E. Battir
    Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd379648190b342e0c4b4f685b7 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6256e3130819095a93c8d1891b078 completed April 20, 2026, 1:09 p.m.
NEDg Description generation batch_69e62cf5b9988190bc1935993f0111f7 completed April 20, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_69e66433ddb48190994bb1160b0ff732 completed April 20, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:37 p.m.