Triple

T2717541
Position Surface form Disambiguated ID Type / Status
Subject Maria Reiche E60002 entity
Predicate residence P75 FINISHED
Object Nazca E289084 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: Nazca | Statement: [Maria Reiche, residence, Nazca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nazca
Context triple: [Maria Reiche, residence, Nazca]
  • A. Nazca chosen
    Nazca is a Peruvian city famous for the ancient Nazca Lines, vast geoglyphs etched into the surrounding desert.
  • B. Nazca culture
    The Nazca culture was an ancient Andean civilization in southern Peru, best known for its intricate pottery, advanced irrigation systems, and the enigmatic Nazca Lines geoglyphs etched into the desert.
  • C. Moche Valley
    The Moche Valley is a fertile coastal river valley in northern Peru known as the heartland of the ancient Moche civilization and its monumental adobe pyramids.
  • D. Paracas culture
    The Paracas culture was an ancient Andean civilization on Peru’s south coast, noted for its elaborate textiles, advanced cranial surgery practices, and distinctive funerary traditions.
  • E. Nazca Lines
    The Nazca Lines are a series of enormous ancient geoglyphs etched into the desert plains of southern Peru, depicting animals, plants, and geometric shapes whose purpose remains a subject of debate.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaad577c8190819d3c641c2406f4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbbe621881909e153290394798d6 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.