Triple

T11526017
Position Surface form Disambiguated ID Type / Status
Subject Razavi Khorasan Province E273296 entity
Predicate containsCity P294 FINISHED
Object Chenaran
Chenaran is a city in northeastern Iran that serves as a local urban center within Razavi Khorasan Province.
 E930226 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: Chenaran | Statement: [Razavi Khorasan Province, containsCity, Chenaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chenaran
Context triple: [Razavi Khorasan Province, containsCity, Chenaran]
  • A. Chini Khaneh
    Chini Khaneh is a richly decorated chamber within the Sheikh Safi al-Din shrine complex in Ardabil, renowned for its collection of fine Chinese and Persian ceramics.
  • B. Chaghcharan
    Chaghcharan is a city in western Afghanistan that serves as the capital of Ghor Province and an important regional administrative and commercial center.
  • C. Mahneshan
    Mahneshan is a small city in northwestern Iran known for its rural surroundings and location within Zanjan Province.
  • D. Khonj
    Khonj is a city in southern Iran known for its location in Fars Province and its predominantly Sunni Muslim population within a largely Shia region.
  • E. Dārayamūš
    Dārayamūš is the Akkadian form of the name Darius, used in ancient Mesopotamian texts to refer to the Achaemenid Persian kings bearing that name.
  • 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: Chenaran
Triple: [Razavi Khorasan Province, containsCity, Chenaran]
Generated description
Chenaran is a city in northeastern Iran that serves as a local urban center within Razavi Khorasan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chenaran
Target entity description: Chenaran is a city in northeastern Iran that serves as a local urban center within Razavi Khorasan Province.
  • A. Chini Khaneh
    Chini Khaneh is a richly decorated chamber within the Sheikh Safi al-Din shrine complex in Ardabil, renowned for its collection of fine Chinese and Persian ceramics.
  • B. Chaghcharan
    Chaghcharan is a city in western Afghanistan that serves as the capital of Ghor Province and an important regional administrative and commercial center.
  • C. Mahneshan
    Mahneshan is a small city in northwestern Iran known for its rural surroundings and location within Zanjan Province.
  • D. Khonj
    Khonj is a city in southern Iran known for its location in Fars Province and its predominantly Sunni Muslim population within a largely Shia region.
  • E. Dārayamūš
    Dārayamūš is the Akkadian form of the name Darius, used in ancient Mesopotamian texts to refer to the Achaemenid Persian kings bearing that name.
  • 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.