Triple

T2186509
Position Surface form Disambiguated ID Type / Status
Subject Mongol Ilkhanate E49163 entity
Predicate notableRuler P22 FINISHED
Object Öljeitü
Öljeitü was a 14th-century Ilkhanid ruler of Persia known for his conversion to Islam, patronage of architecture, and the construction of the monumental city of Sultaniyya.
 E242161 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: Öljeitü | Statement: [Mongol Ilkhanate, notableRuler, Öljeitü]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Öljeitü
Context triple: [Mongol Ilkhanate, notableRuler, Öljeitü]
  • A. Olite
    Olite is a historic town in northern Spain renowned for its well-preserved medieval architecture and the royal palace of the kings of Navarre.
  • B. Ola
    Ola is a major Indian ride-hailing and mobility platform offering cab, auto-rickshaw, and other transportation services via its mobile app.
  • C. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • D. Petro
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • E. Faetar
    Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
  • 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: Öljeitü
Triple: [Mongol Ilkhanate, notableRuler, Öljeitü]
Generated description
Öljeitü was a 14th-century Ilkhanid ruler of Persia known for his conversion to Islam, patronage of architecture, and the construction of the monumental city of Sultaniyya.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Öljeitü
Target entity description: Öljeitü was a 14th-century Ilkhanid ruler of Persia known for his conversion to Islam, patronage of architecture, and the construction of the monumental city of Sultaniyya.
  • A. Olite
    Olite is a historic town in northern Spain renowned for its well-preserved medieval architecture and the royal palace of the kings of Navarre.
  • B. Ola
    Ola is a major Indian ride-hailing and mobility platform offering cab, auto-rickshaw, and other transportation services via its mobile app.
  • C. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • D. Petro
    Petro is a common Ukrainian male given name, notably borne by former Ukrainian president Petro Poroshenko.
  • E. Faetar
    Faetar is a rare Romance language variety spoken by a small Franco-Provençal community in southern Italy, notable for preserving archaic features within an Italo-Romance environment.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf1152688190955c14c0937deefd completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dab44008190aeb4f77b73db2b36 completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e5fe37c8190bcf73200d32f5faa completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ed1e3208190b46d5e8361c2a5f6 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.