Triple

T13688068
Position Surface form Disambiguated ID Type / Status
Subject Likiep E328184 entity
Predicate usesCurrencyCode P188 FINISHED
Object USD 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: USD | Statement: [Likiep, usesCurrencyCode, USD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USD
Context triple: [Likiep, usesCurrencyCode, USD]
  • A. 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.
  • B. USD
    USD is a public research university located in Vermillion, South Dakota, known for its programs in law, medicine, and business.
  • C. 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.
  • D. Dollar
    Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
  • E. 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.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944981ec8190be5ff39b7c2c70ab completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.