Triple

T12524386
Position Surface form Disambiguated ID Type / Status
Subject ERIC-B E299397 entity
Predicate hasUnderlyingCompanyTickerAbroad P57989 FINISHED
Object ERIC
ERIC is the stock ticker symbol for Ericsson, a major Swedish multinational telecommunications and networking company.
E986656 NE FINISHED

How this triple was built (5 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: ERIC | Statement: [ERIC-B, hasUnderlyingCompanyTickerAbroad, ERIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERIC
Context triple: [ERIC-B, hasUnderlyingCompanyTickerAbroad, ERIC]
  • A. ETS
    ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
  • B. ETS
    ETS is the abbreviation for the Educational and Training Services Branch, a unit responsible for developing and delivering education and training programs.
  • C. ERM
    ERM is a European Union system designed to reduce exchange rate variability and achieve monetary stability in preparation for economic and monetary union.
  • D. ERM
    ERM is the French-language abbreviation for Belgium’s Royal Military Academy, the country’s principal institution for training future officers of the armed forces.
  • E. ERM
    ERM is the IATA airport code for Erechim Airport, which serves the city of Erechim in Brazil.
  • 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: ERIC
Triple: [ERIC-B, hasUnderlyingCompanyTickerAbroad, ERIC]
Generated description
ERIC is the stock ticker symbol for Ericsson, a major Swedish multinational telecommunications and networking company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ERIC
Target entity description: ERIC is the stock ticker symbol for Ericsson, a major Swedish multinational telecommunications and networking company.
  • A. ETS
    ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
  • B. ETS
    ETS is the abbreviation for the Educational and Training Services Branch, a unit responsible for developing and delivering education and training programs.
  • C. ERM
    ERM is a European Union system designed to reduce exchange rate variability and achieve monetary stability in preparation for economic and monetary union.
  • D. ERM
    ERM is the French-language abbreviation for Belgium’s Royal Military Academy, the country’s principal institution for training future officers of the armed forces.
  • E. ERM
    ERM is the IATA airport code for Erechim Airport, which serves the city of Erechim in Brazil.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingCompanyTickerAbroad
Context triple: [ERIC-B, hasUnderlyingCompanyTickerAbroad, ERIC]
  • A. underlyingCompanyTicker chosen
    Indicates that one entity is the stock ticker symbol corresponding to the underlying company of another financial instrument or entity.
  • B. underlyingTickerCountryCode
    Indicates the country code associated with the underlying ticker to which an instrument or contract is linked.
  • C. underlyingCompanyExchange
    Indicates that one entity is the stock exchange on which the underlying company of another financial instrument or contract is listed or traded.
  • D. hasUnderlyingCompanySecondaryMarket
    Indicates that an entity is associated with a secondary market that trades interests in its underlying company.
  • E. hasUnderlyingCompanyPrimaryListing
    Indicates that an entity is associated with the company where that company’s primary stock exchange listing is held.
  • F. None of above.

Provenance (6 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc159c88190835fea5c0d9ee799 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64def9a6081908c3048f948829051 completed May 2, 2026, 7:18 p.m.
NED2 Entity disambiguation (via description) batch_69f64ea1719c8190b91ffaab60db25ad completed May 2, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69d9540d7b788190a0d57b098e90e491 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.