Triple

T6191186
Position Surface form Disambiguated ID Type / Status
Subject ConocoPhillips E138393 entity
Predicate tickerSymbol P1447 FINISHED
Object COP
COP is the stock ticker symbol for ConocoPhillips, a major American multinational energy company focused on oil and natural gas exploration and production.
 E576065 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: COP | Statement: [ConocoPhillips, tickerSymbol, COP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: COP
Context triple: [ConocoPhillips, tickerSymbol, COP]
  • A. COP
    COP is the official currency code used internationally to represent the Colombian peso.
  • B. COP
    COP is the main annual United Nations climate summit where countries negotiate global agreements to address climate change.
  • C. CoP
    CoP is the commonly used abbreviation for the Conference of the Parties, the decision-making body of the CITES international wildlife trade agreement.
  • D. COPA
    COPA is the airline callsign used by Copa Airlines, the flag carrier of Panama known for its extensive network across the Americas.
  • E. COPA
    COPA is an independent Chicago city agency responsible for investigating allegations of police misconduct and promoting police accountability.
  • 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: COP
Triple: [ConocoPhillips, tickerSymbol, COP]
Generated description
COP is the stock ticker symbol for ConocoPhillips, a major American multinational energy company focused on oil and natural gas exploration and production.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: COP
Target entity description: COP is the stock ticker symbol for ConocoPhillips, a major American multinational energy company focused on oil and natural gas exploration and production.
  • A. COP
    COP is the official currency code used internationally to represent the Colombian peso.
  • B. COP
    COP is the main annual United Nations climate summit where countries negotiate global agreements to address climate change.
  • C. CoP
    CoP is the commonly used abbreviation for the Conference of the Parties, the decision-making body of the CITES international wildlife trade agreement.
  • D. COPA
    COPA is the airline callsign used by Copa Airlines, the flag carrier of Panama known for its extensive network across the Americas.
  • E. COPA
    COPA is an independent Chicago city agency responsible for investigating allegations of police misconduct and promoting police accountability.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0623ff0bc8190951512245a38f541 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f0d5a2881908564442aca29b1ec completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1f5c981dc8190aebfba63dc0055fe completed March 24, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69c1f6390c6481908aa0f0afcba9729d completed March 24, 2026, 2:26 a.m.
Created at: March 22, 2026, 4:19 p.m.