Triple

T3227472
Position Surface form Disambiguated ID Type / Status
Subject Ulugh Beg E67658 entity
Predicate birthPlace P1 FINISHED
Object Sultaniyeh
Sultaniyeh is a historic city in northwestern Iran best known for its UNESCO-listed Ilkhanid-era mausoleum, one of the largest brick domes in the world.
E350699 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: Sultaniyeh | Statement: [Ulugh Beg, birthPlace, Sultaniyeh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sultaniyeh
Context triple: [Ulugh Beg, birthPlace, Sultaniyeh]
  • A. Kerman
    Kerman is a major city in southeastern Iran known for its rich history, traditional bazaars, and proximity to desert landscapes.
  • B. Kerman
    Kerman is a small city in California’s San Joaquin Valley, known for its agricultural economy and location west of Fresno.
  • C. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • D. Maragheh
    Maragheh is a historic city in northwestern Iran known for its rich cultural heritage and notable astronomical observatory from the Ilkhanid era.
  • E. Khorramabad
    Khorramabad is a city in western Iran and the capital of Lorestan Province, known for its mountainous surroundings and historical sites such as Falak-ol-Aflak Castle.
  • 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: Sultaniyeh
Triple: [Ulugh Beg, birthPlace, Sultaniyeh]
Generated description
Sultaniyeh is a historic city in northwestern Iran best known for its UNESCO-listed Ilkhanid-era mausoleum, one of the largest brick domes in the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sultaniyeh
Target entity description: Sultaniyeh is a historic city in northwestern Iran best known for its UNESCO-listed Ilkhanid-era mausoleum, one of the largest brick domes in the world.
  • A. Kerman
    Kerman is a small city in California’s San Joaquin Valley, known for its agricultural economy and location west of Fresno.
  • B. Kerman
    Kerman is a major city in southeastern Iran known for its rich history, traditional bazaars, and proximity to desert landscapes.
  • C. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • D. Maragheh
    Maragheh is a historic city in northwestern Iran known for its rich cultural heritage and notable astronomical observatory from the Ilkhanid era.
  • E. Khorramabad
    Khorramabad is a city in western Iran and the capital of Lorestan Province, known for its mountainous surroundings and historical sites such as Falak-ol-Aflak Castle.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb5e67c819082070d108d3613ba completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b324f1baec8190b076b65fd7e4be2a completed March 12, 2026, 8:41 p.m.
NEDg Description generation batch_69b326620f048190b429ff62d037516c completed March 12, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69b326fadb388190981f38a083805ee5 completed March 12, 2026, 8:50 p.m.
Created at: March 8, 2026, 3:08 p.m.