Triple

T15477083
Position Surface form Disambiguated ID Type / Status
Subject Gilan Province E376809 entity
Predicate hasMajorCity P316 FINISHED
Object Sowme'eh Sara
Sowme'eh Sara is a city in northern Iran known for its location in the lush, coastal Gilan Province along the Caspian Sea.
 E1160704 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: Sowme'eh Sara | Statement: [Gilan Province, hasMajorCity, Sowme'eh Sara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sowme'eh Sara
Context triple: [Gilan Province, hasMajorCity, Sowme'eh Sara]
  • A. Oshnavieh
    Oshnavieh is a small city in northwestern Iran known for its Kurdish population and mountainous surroundings near the border with Iraq.
  • B. Sarbisheh
    Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
  • C. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • 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. Pishva
    Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
  • 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: Sowme'eh Sara
Triple: [Gilan Province, hasMajorCity, Sowme'eh Sara]
Generated description
Sowme'eh Sara is a city in northern Iran known for its location in the lush, coastal Gilan Province along the Caspian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sowme'eh Sara
Target entity description: Sowme'eh Sara is a city in northern Iran known for its location in the lush, coastal Gilan Province along the Caspian Sea.
  • A. Oshnavieh
    Oshnavieh is a small city in northwestern Iran known for its Kurdish population and mountainous surroundings near the border with Iraq.
  • B. Sarbisheh
    Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
  • C. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • 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. Pishva
    Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36595bfc8190a0d60b3cb875ccc5 completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff376dac388190ab3b7e3553d2de29 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:34 a.m.