Triple

T2499236
Position Surface form Disambiguated ID Type / Status
Subject al-Musta'sim E52422 entity
Predicate contemporaryOf P6401 FINISHED
Object Hulagu Khan E69581 NE FINISHED

How this triple was built (2 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: Hulagu Khan | Statement: [al-Musta'sim, contemporaryOf, Hulagu Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hulagu Khan
Context triple: [al-Musta'sim, contemporaryOf, Hulagu Khan]
  • A. Hülegü Khan chosen
    Hülegü Khan was a 13th-century Mongol ruler and grandson of Genghis Khan who founded the Ilkhanate in Persia and led the conquest of Baghdad, ending the Abbasid Caliphate.
  • B. Ghazan
    Ghazan was a prominent Ilkhanid ruler of Persia known for converting the Mongol state to Islam and implementing major administrative and fiscal reforms.
  • C. Nogai Khan
    Nogai Khan was a powerful Mongol general and de facto ruler in the western part of the Golden Horde during the late 13th century.
  • D. Arghun
    Arghun was a late 13th-century Ilkhanid ruler of Persia known for his efforts to strengthen Mongol rule and seek alliances with European powers against the Mamluks.
  • E. Temür Khan
    Temür Khan was a Yuan dynasty emperor and grandson of Kublai Khan who ruled China and the Mongol Empire in the late 13th and early 14th centuries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1afd86c81909181c4b45d4f8bc5 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f9ed13c81909856db636bfb2e9e completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.