Triple

T10081702
Position Surface form Disambiguated ID Type / Status
Subject Pishva County E213915 entity
Predicate capital P234 FINISHED
Object Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
E845228 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: Pishva | Statement: [Pishva County, capital, Pishva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pishva
Context triple: [Pishva County, capital, Pishva]
  • A. Sorkheh
    Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
  • B. Bijar
    Bijar is a town in Iran renowned for producing exceptionally durable, densely knotted Persian carpets known for their rich colors and intricate designs.
  • C. Oshnavieh
    Oshnavieh is a small city in northwestern Iran known for its Kurdish population and mountainous surroundings near the border with Iraq.
  • D. Zanjanrud
    Zanjanrud is a river in northwestern Iran that flows through the city of Zanjan and its surrounding region.
  • E. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • 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: Pishva
Triple: [Pishva County, capital, Pishva]
Generated description
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pishva
Target entity description: Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
  • A. Sorkheh
    Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
  • B. Bijar
    Bijar is a town in Iran renowned for producing exceptionally durable, densely knotted Persian carpets known for their rich colors and intricate designs.
  • C. Oshnavieh
    Oshnavieh is a small city in northwestern Iran known for its Kurdish population and mountainous surroundings near the border with Iraq.
  • D. Zanjanrud
    Zanjanrud is a river in northwestern Iran that flows through the city of Zanjan and its surrounding region.
  • E. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd03482d481908b03d35dc2d16395 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d30041f8a88190b24de139e4acf9bb completed April 6, 2026, 12:37 a.m.
NEDg Description generation batch_69d301dd614481909b357f319ba5e876 completed April 6, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d302978e808190a9f5371a2bf4abce completed April 6, 2026, 12:47 a.m.
Created at: March 30, 2026, 9 p.m.