Triple

T1606499
Position Surface form Disambiguated ID Type / Status
Subject United States Department of the Interior E34515 entity
Predicate abbreviation P43 FINISHED
Object DOI E5815 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: DOI | Statement: [United States Department of the Interior, abbreviation, DOI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOI
Context triple: [United States Department of the Interior, abbreviation, DOI]
  • A. DOI chosen
    DOI is the commonly used abbreviation for the United States Department of the Interior, the federal executive department responsible for managing the nation’s natural resources and public lands.
  • B. Directory of Open Access Journals
    The Directory of Open Access Journals (DOAJ) is an online index that curates and provides access to high-quality, peer-reviewed open access scholarly journals from around the world.
  • C. CiteSeerX
    CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
  • D. DO
    DO is the two-letter ISO 3166-1 alpha-2 country code assigned to the Dominican Republic.
  • E. Digital Object Identifier system
    The Digital Object Identifier system is a standardized framework for assigning persistent, unique alphanumeric identifiers to digital content such as scholarly articles, enabling reliable citation, discovery, and long-term access.
  • 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_69a885fea6a481909fe83ba6441f1774 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9096b8a788190bd3ca395c32ccf25 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51bff1cc819082208a8a77fae631 completed March 8, 2026, 10:38 a.m.
Created at: March 4, 2026, 7:28 p.m.