Triple

T5467608
Position Surface form Disambiguated ID Type / Status
Subject Moses de León E122750 entity
Predicate familyName P18 FINISHED
Object de León E122750 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: de León | Statement: [Moses de León, familyName, de León]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de León
Context triple: [Moses de León, familyName, de León]
  • A. de León chosen
    De León is a Spanish surname of Sephardic Jewish origin historically associated with notable figures in religious and cultural scholarship.
  • B. de Luna
    De Luna is the noble Aragonese family name of Pope Benedict XIII, reflecting his origins in the medieval Spanish aristocracy.
  • C. De Leon
    De Leon is a surname of Spanish origin commonly borne by individuals and places in Spanish-speaking and former Spanish-colonial regions.
  • D. Al Olaya
    Al Olaya is a prominent commercial and business district in Riyadh, Saudi Arabia, known for its modern skyscrapers, upscale shopping, and major corporate offices.
  • E. Tristán de Luna y Arellano
    Tristán de Luna y Arellano was a 16th-century Spanish conquistador and explorer who led an ill-fated expedition to establish one of the earliest European settlements in what is now the United States.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9218621c819093267a012bd49a35 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf77b59ef881909c5968194336b101 completed March 22, 2026, 5:01 a.m.
Created at: March 20, 2026, 2:09 p.m.