Triple

T8096621
Position Surface form Disambiguated ID Type / Status
Subject Shemiranat County E189001 entity
Predicate contains P35 FINISHED
Object Meygun
Meygun is a small town in northern Tehran Province, Iran, known for its cool climate, mountainous scenery, and popularity as a weekend retreat for Tehran residents.
E709063 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: Meygun | Statement: [Shemiranat County, contains, Meygun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meygun
Context triple: [Shemiranat County, contains, Meygun]
  • A. Maay
    Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
  • B. Meyr
    Meyr is a surname variant of Meier, a common German family name with roots in occupational and administrative titles.
  • C. Myra
    Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
  • D. Myra
    Myra was an ancient Greek city in Lycia, in what is now southwestern Turkey, historically notable as a major early Christian center and the bishopric of Saint Nicholas.
  • E. Muyil
    Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
  • 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: Meygun
Triple: [Shemiranat County, contains, Meygun]
Generated description
Meygun is a small town in northern Tehran Province, Iran, known for its cool climate, mountainous scenery, and popularity as a weekend retreat for Tehran residents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meygun
Target entity description: Meygun is a small town in northern Tehran Province, Iran, known for its cool climate, mountainous scenery, and popularity as a weekend retreat for Tehran residents.
  • A. Maay
    Maay is a major dialect of the Somali language spoken primarily by the Rahanweyn (Digil-Mirifle) communities in southern Somalia.
  • B. Meyr
    Meyr is a surname variant of Meier, a common German family name with roots in occupational and administrative titles.
  • C. Myra
    Myra was an ancient Greek city in Lycia, in what is now southwestern Turkey, historically notable as a major early Christian center and the bishopric of Saint Nicholas.
  • D. Myra
    Myra is a feminine given name used in various cultures, often associated with individuals of Jewish and English-speaking backgrounds.
  • E. Muyil
    Muyil is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, known for its well-preserved temples and proximity to the Sian Ka'an Biosphere Reserve.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429319048190b612c8060a9a24d2 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6414ca048190ac0e644b2c399bfb completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc651eecf481909bf0ea90001c83f3 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc664d69a08190b92e34a0e1de48a7 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:30 p.m.