Triple

T16058723
Position Surface form Disambiguated ID Type / Status
Subject GMTT E389551 entity
Predicate namedAfter P63 FINISHED
Object Ibn Battouta E87480 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: Ibn Battouta | Statement: [GMTT, namedAfter, Ibn Battouta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ibn Battouta
Context triple: [GMTT, namedAfter, Ibn Battouta]
  • A. Ibn Battuta chosen
    Ibn Battuta was a 14th-century Moroccan explorer and travel writer renowned for his extensive journeys across Africa, the Middle East, Central and South Asia, and China, which he documented in a famous travelogue.
  • B. Ibn Jubayr
    Ibn Jubayr was a 12th-century Andalusian Muslim traveler and writer best known for his detailed pilgrimage travelogue that offers a vivid account of the medieval Islamic world.
  • C. Marco Polo
    Marco Polo was a 13th-century Venetian merchant and explorer whose travels across Asia and detailed accounts of the Mongol Empire profoundly influenced European knowledge of the East.
  • D. Marco Polo
    Marco Polo is a Canadian hip-hop record producer known for his gritty, sample-based boom-bap sound and collaborations with numerous underground rap artists.
  • E. Marco Polo
    Marco Polo is a historical drama television series that follows the early adventures of the Venetian explorer at the court of Kublai Khan in 13th-century Mongolia and China.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837729e4819086e7429e0a76b0d7 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe47a92608190993fe7f2c5957019 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:57 a.m.