Triple

T12283887
Position Surface form Disambiguated ID Type / Status
Subject Maria Reiche E292779 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d1ede3081908647595739c3e996 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6555c73208190a8846a5db1a6802e completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:52 p.m.