Triple

T2227488
Position Surface form Disambiguated ID Type / Status
Subject Virginia pound E48685 entity
Predicate usedBefore P7341 FINISHED
Object US dollar E105 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: US dollar | Statement: [Virginia pound, usedBefore, US dollar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US dollar
Context triple: [Virginia pound, usedBefore, US dollar]
  • A. US dollar chosen
    The US dollar is the official currency of the United States and the world’s primary reserve currency used widely in global trade and finance.
  • B. Dollar
    Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
  • C. Dollar
    Dollar was a British pop duo, formed by David Van Day and Thereza Bazar, known for their catchy synth-pop hits in the late 1970s and early 1980s.
  • D. USD
    USD (Universal Scene Description) is an open-source 3D scene description and interchange framework developed by Pixar, widely used for creating, composing, and collaborating on complex virtual worlds and assets.
  • E. gold dollar
    The gold dollar was a small U.S. gold coin minted in the mid-19th century, notable as the smallest-denomination gold coin ever issued by 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0670ce48190b98814064bff0517 completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f007e988190bb032a39cfea7730 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:47 p.m.