Triple

T14050929
Position Surface form Disambiguated ID Type / Status
Subject Apa E338086 entity
Predicate agriculturalProduct P490 FINISHED
Object Maize E741358 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: Maize | Statement: [Apa, agriculturalProduct, Maize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maize
Context triple: [Apa, agriculturalProduct, Maize]
  • A. Zea
    Zea is the former name of Kea, an island in the Cyclades archipelago of Greece known for its traditional villages and scenic landscapes.
  • B. Zea mays chosen
    Zea mays is the domesticated cereal crop commonly known as maize or corn, widely cultivated worldwide for food, feed, and industrial uses.
  • C. Centeno
    Centeno is a Portuguese surname most notably associated with Mário Centeno, an economist and former finance minister of Portugal.
  • D. Cornstalk
    Cornstalk was an 18th-century Shawnee chief and skilled orator known for his leadership during conflicts with American colonists, including Lord Dunmore’s War.
  • E. Sorghum bicolor
    Sorghum bicolor is a major cereal crop species grown worldwide for grain, forage, and biofuel, notable for its drought tolerance and importance in food and feed production.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8a518081908ad030ba48b7b946 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc345a4c081908f803cc53b4f8bca completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.