Triple

T6191187
Position Surface form Disambiguated ID Type / Status
Subject ConocoPhillips E138393 entity
Predicate currency P245 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: [ConocoPhillips, currency, USD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USD
Context triple: [ConocoPhillips, currency, 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0623ff0bc8190951512245a38f541 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f0d5a2881908564442aca29b1ec completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.