Triple

T36705
Position Surface form Disambiguated ID Type / Status
Subject Tehran Conference E727 entity
Predicate location P40 FINISHED
Object Tehran
Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
 E5216 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: Tehran | Statement: [Tehran Conference, location, Tehran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tehran
Context triple: [Tehran Conference, location, Tehran]
  • A. Moscow
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • B. Dubai
    Dubai is a major global city in the United Arab Emirates known for its rapid development, luxury tourism, and status as a regional business and financial hub.
  • C. Cairo
    Cairo is the capital and largest city of Egypt, a historic metropolis on the Nile renowned for its rich Islamic heritage and proximity to the ancient pyramids.
  • D. Iran
    Iran is a Middle Eastern country that, after being occupied by British and Soviet forces in 1941, aligned with the Allies in World War II and served as a crucial supply corridor to the Soviet Union.
  • E. Beijing
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • 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: Tehran
Triple: [Tehran Conference, location, Tehran]
Generated description
Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tehran
Target entity description: Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
  • A. Moscow
    Moscow is the capital and largest city of Russia, serving as its political, economic, and cultural center.
  • B. Dubai
    Dubai is a major global city in the United Arab Emirates known for its rapid development, luxury tourism, and status as a regional business and financial hub.
  • C. Cairo
    Cairo is the capital and largest city of Egypt, a historic metropolis on the Nile renowned for its rich Islamic heritage and proximity to the ancient pyramids.
  • D. Iran
    Iran is a Middle Eastern country that, after being occupied by British and Soviet forces in 1941, aligned with the Allies in World War II and served as a crucial supply corridor to the Soviet Union.
  • E. Beijing
    Beijing is the capital city of China, a major political, cultural, and economic center known for its rich history and rapid modern development.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24acbb90881908c9f77e74034eb52 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255322d048190b3a45c6c6a80230c completed Feb. 28, 2026, 2:38 a.m.
NEDg Description generation batch_69a255ee9c1c8190a9d1db89af34fbaf completed Feb. 28, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_69a256a35c3081908aa5522c734bd54d completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.