Triple

T21281020
Position Surface form Disambiguated ID Type / Status
Subject Chaharmahal and Bakhtiari Province E524522 entity
Predicate containsCity P294 FINISHED
Object Borujen
Borujen is a city in western Iran known as an administrative and commercial center within the mountainous Chaharmahal and Bakhtiari region.
 E1476500 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: Borujen | Statement: [Chaharmahal and Bakhtiari Province, containsCity, Borujen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borujen
Context triple: [Chaharmahal and Bakhtiari Province, containsCity, Borujen]
  • A. Mursa
    Mursa was an important Roman city and military center located in the province of Pannonia, in the region of modern-day Osijek, Croatia.
  • B. Berd
    Berd is a small historic town in northeastern Armenia known for its medieval fortresses and scenic location in Tavush Province near the border with Azerbaijan.
  • C. Bor
    Bor is a major town in South Sudan’s Jonglei State, situated on the White Nile and serving as an important regional administrative and transport hub.
  • D. Bor
    Bor is a small town in the Plzeň Region of the Czech Republic, known for its historic architecture and surrounding rural landscape.
  • E. Bor
    Bor is a London Underground station serving the Borough area of Southwark in central London.
  • 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: Borujen
Triple: [Chaharmahal and Bakhtiari Province, containsCity, Borujen]
Generated description
Borujen is a city in western Iran known as an administrative and commercial center within the mountainous Chaharmahal and Bakhtiari region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borujen
Target entity description: Borujen is a city in western Iran known as an administrative and commercial center within the mountainous Chaharmahal and Bakhtiari region.
  • A. Mursa
    Mursa was an important Roman city and military center located in the province of Pannonia, in the region of modern-day Osijek, Croatia.
  • B. Berd
    Berd is a small historic town in northeastern Armenia known for its medieval fortresses and scenic location in Tavush Province near the border with Azerbaijan.
  • C. Bor
    Bor is a major town in South Sudan’s Jonglei State, situated on the White Nile and serving as an important regional administrative and transport hub.
  • D. Bor
    Bor is a small town in the Plzeň Region of the Czech Republic, known for its historic architecture and surrounding rural landscape.
  • E. Bor
    Bor is a London Underground station serving the Borough area of Southwark in central London.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d186988190a5b16fcb669ece9f completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09980294548190a099b4d83be09b04 completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998c794f08190bbf31ce6df99229d completed May 17, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0999884e0481909b7ea54cd7ef87b5 completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:02 p.m.