Triple

T11526027
Position Surface form Disambiguated ID Type / Status
Subject Razavi Khorasan Province E273296 entity
Predicate containsCity P294 FINISHED
Object Kalaleh
Kalaleh is a city in northeastern Iran known as a local administrative and agricultural center.
E933215 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: Kalaleh | Statement: [Razavi Khorasan Province, containsCity, Kalaleh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalaleh
Context triple: [Razavi Khorasan Province, containsCity, Kalaleh]
  • A. Taleqan
    Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
  • B. Kuhdasht
    Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
  • C. Firuzkuh
    Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
  • D. Bavanat
    Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
  • E. Mahneshan
    Mahneshan is a small city in northwestern Iran known for its rural surroundings and location within Zanjan Province.
  • 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: Kalaleh
Triple: [Razavi Khorasan Province, containsCity, Kalaleh]
Generated description
Kalaleh is a city in northeastern Iran known as a local administrative and agricultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kalaleh
Target entity description: Kalaleh is a city in northeastern Iran known as a local administrative and agricultural center.
  • A. Taleqan
    Taleqan is a small mountainous city in northern Iran known for its cool climate, natural landscapes, and traditional rural architecture.
  • B. Kuhdasht
    Kuhdasht is a city in western Iran known as an agricultural and regional center within Lorestan Province.
  • C. Firuzkuh
    Firuzkuh is a small city in Tehran Province, Iran, known for its mountainous landscape and cool climate.
  • D. Bavanat
    Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
  • E. Mahneshan
    Mahneshan is a small city in northwestern Iran known for its rural surroundings and location within Zanjan Province.
  • 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_69e6e7e58d4081909647714975b55422 completed April 21, 2026, 2:58 a.m.
NEDg Description generation batch_69e6ef8fca248190bc2fdd8457258874 completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f8ec88e88190bfa21c2d06d67bd8 completed April 21, 2026, 4:11 a.m.
Created at: April 8, 2026, 9:37 p.m.