Triple

T1290300
Position Surface form Disambiguated ID Type / Status
Subject Universal Health Services E27530 entity
Predicate stockTicker P1447 FINISHED
Object UHS
UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
 E147152 NE FINISHED

How this triple was built (4 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, stockTicker, UHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UHS
Context triple: [Universal Health Services, stockTicker, UHS]
  • A. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UHS
Triple: [Universal Health Services, stockTicker, UHS]
Generated description
UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UHS
Target entity description: UHS is the stock ticker symbol for Universal Health Services, a major U.S.-based hospital and healthcare services company.
  • A. U3
    U3 is one of the main lines of the Nuremberg U-Bahn rapid transit system in Nuremberg, Germany.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • F. None of above. chosen

Provenance (5 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_69acacbf0cf48190937f620900b08d3f completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad34fc008190a9c06be5cbe8e8c3 completed March 7, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_69acadc3ceb48190a9d67c8e90034c49 completed March 7, 2026, 10:59 p.m.
Created at: March 1, 2026, 7:51 p.m.