Triple

T3136573
Position Surface form Disambiguated ID Type / Status
Subject Mary Eleanor Darwin E65544 entity
Predicate familyName P18 FINISHED
Object Darwin E2653 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: Darwin | Statement: [Mary Eleanor Darwin, familyName, Darwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darwin
Context triple: [Mary Eleanor Darwin, familyName, Darwin]
  • A. Darwin chosen
    Darwin is a surname most famously associated with Charles Darwin, the 19th-century naturalist whose theory of evolution by natural selection revolutionized biology.
  • B. Darwin
    Darwin is the tropical capital city of Australia's Northern Territory, known as a gateway to Southeast Asia and nearby natural attractions like Kakadu National Park.
  • C. Darwin
    Darwin is Apple's Unix-like core operating system that provides the low-level foundation for macOS, iOS, and other Apple platforms.
  • D. Darwin Port
    Darwin Port is the primary commercial seaport in Australia’s Northern Territory, serving as a key hub for regional trade, logistics, and maritime operations.
  • E. City of Darwin
    The City of Darwin is the local government area that encompasses Darwin, the tropical capital and largest city of Australia's Northern Territory.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada564eacc8190a54d07b4eb31c196 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8793488190aa31040edaf1d627 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:05 p.m.