Triple

T1791776
Position Surface form Disambiguated ID Type / Status
Subject Travel Wallet E39511 entity
Predicate currency P245 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: [Travel Wallet, currency, US dollar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US dollar
Context triple: [Travel Wallet, currency, 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 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.
  • C. Dollar
    Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
  • D. 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.
  • E. Pound sterling
    The pound sterling is the official currency of the United Kingdom and one of the world’s oldest continuously used monetary units.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65392b2c81909bf4d619bd347f54 completed March 6, 2026, 5:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0305b6d08190804da5445e1f54d9 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:32 p.m.