Triple

T1290319
Position Surface form Disambiguated ID Type / Status
Subject Universal Health Services E27530 entity
Predicate hasAbbreviation P43 FINISHED
Object UHS E147152 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: UHS | Statement: [Universal Health Services, hasAbbreviation, UHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UHS
Context triple: [Universal Health Services, hasAbbreviation, UHS]
  • A. UHS chosen
    UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
  • B. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • C. UCS
    UCS (Universal Coded Character Set) is the international standard character encoding defined by ISO/IEC 10646 that underpins Unicode and provides a unique code point for virtually every character in modern and historic writing systems.
  • D. USZ
    USZ is a major public teaching hospital in Zurich, Switzerland, affiliated with the University of Zurich and known for its advanced medical care and research.
  • E. UCH
    UCH is a leading public research university in Santiago, Chile, renowned for its academic excellence and significant influence on the country’s intellectual and cultural life.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d6af908190ade9c481cc6f0ad8 completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2ff0d4c8190893901e041f30171 completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.