Triple

T22986407
Position Surface form Disambiguated ID Type / Status
Subject Coats Group E571917 entity
Predicate tickerSymbol P1447 FINISHED
Object COA
COA is the stock ticker symbol for Coats Group, a global industrial thread and textile manufacturer listed on the London Stock Exchange.
E1565330 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: COA | Statement: [Coats Group, tickerSymbol, COA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COA
Context triple: [Coats Group, tickerSymbol, COA]
  • A. COA
    COA is the acronym for the Commission on Audit, the independent constitutional body in the Philippines responsible for auditing government funds and properties.
  • B. COA
    COA is the ICAO airline designator formerly used by Continental Airlines, a major U.S. carrier that merged with United Airlines.
  • C. COA
    COA is the abbreviation for Taiwan’s Council of Agriculture, the central government agency responsible for agricultural, forestry, fishery, and animal husbandry policies.
  • D. COA
    COA is the Dutch national agency responsible for managing reception and accommodation for asylum seekers in the Netherlands.
  • E. CoA+A
    CoA+A is the commonly used abbreviation for the College of Arts + Architecture, an academic unit focused on disciplines such as visual arts, design, and performance.
  • 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: COA
Triple: [Coats Group, tickerSymbol, COA]
Generated description
COA is the stock ticker symbol for Coats Group, a global industrial thread and textile manufacturer listed on the London Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: COA
Target entity description: COA is the stock ticker symbol for Coats Group, a global industrial thread and textile manufacturer listed on the London Stock Exchange.
  • A. COA
    COA is the acronym for the Commission on Audit, the independent constitutional body in the Philippines responsible for auditing government funds and properties.
  • B. COA
    COA is the ICAO airline designator formerly used by Continental Airlines, a major U.S. carrier that merged with United Airlines.
  • C. COA
    COA is the abbreviation for Taiwan’s Council of Agriculture, the central government agency responsible for agricultural, forestry, fishery, and animal husbandry policies.
  • D. COA
    COA is the Dutch national agency responsible for managing reception and accommodation for asylum seekers in the Netherlands.
  • E. CoA+A
    CoA+A is the commonly used abbreviation for the College of Arts + Architecture, an academic unit focused on disciplines such as visual arts, design, and performance.
  • 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_69e245b535808190adef8a9df3c584db completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182996ee08190ab74014ee7ecac2b completed April 29, 2026, 4:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd376fff08190b35d33b0db8f2e8a completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd7f95c208190ae836554fbb958a2 completed May 19, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd8a2c470819081fbbc871391215e completed May 19, 2026, 3:27 a.m.
Created at: April 17, 2026, 3:49 p.m.