Triple

T6224824
Position Surface form Disambiguated ID Type / Status
Subject U.S. Cellular E139203 entity
Predicate tickerSymbol P1447 FINISHED
Object USM
USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
 E576849 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: USM | Statement: [U.S. Cellular, tickerSymbol, USM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: USM
Context triple: [U.S. Cellular, tickerSymbol, USM]
  • A. USM
    USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
  • B. USM
    USM is the commonly used abbreviation for the Federico Santa María Technical University, a prominent Chilean institution known for its strong engineering and science programs.
  • C. USMIA
    USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
  • D. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • E. UM
    UM is the commonly used abbreviation for Maastricht University, a public research university located in Maastricht, the Netherlands.
  • 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: USM
Triple: [U.S. Cellular, tickerSymbol, USM]
Generated description
USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: USM
Target entity description: USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
  • A. USM
    USM (User-based Security Model) is the SNMPv3 security framework that provides user-level authentication, privacy (encryption), and access control for Simple Network Management Protocol communications.
  • B. USM
    USM is the commonly used abbreviation for the Federico Santa María Technical University, a prominent Chilean institution known for its strong engineering and science programs.
  • C. USMIA
    USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
  • D. UME
    UME is Spain’s specialized military emergency unit responsible for rapid response to natural disasters, major accidents, and other civil emergencies.
  • E. UM
    UM is the commonly used abbreviation for Maastricht University, a public research university located in Maastricht, the Netherlands.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062c214c48190b94e7f904e2bf699 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dd3dc5c8190bf48da3a90863727 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c21131f31881909704aac2130d25a7 completed March 24, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69c2118792948190b54b6b54d52d291d completed March 24, 2026, 4:22 a.m.
Created at: March 22, 2026, 4:22 p.m.