Triple

T6435319
Position Surface form Disambiguated ID Type / Status
Subject Concur Technologies E129879 entity
Predicate tickerSymbol P1447 FINISHED
Object CNQR
CNQR was the stock ticker symbol for Concur Technologies, a company best known for its cloud-based travel and expense management software.
 E591925 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: CNQR | Statement: [Concur Technologies, tickerSymbol, CNQR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNQR
Context triple: [Concur Technologies, tickerSymbol, CNQR]
  • A. CQ
    CQ is a 2001 independent film directed by Roman Coppola that blends retro-futuristic sci-fi and personal drama in a stylized homage to 1960s European cinema.
  • B. CQD
    CQD was an early maritime distress signal used in wireless telegraphy before the widespread adoption of SOS.
  • C. 51 FNQR
    51 FNQR is an Australian Army Reserve infantry battalion based in Far North Queensland, responsible for regional security, surveillance, and community engagement across remote northern Australia.
  • D. NQ
    NQ is the station code for North Quincy, a Massachusetts Bay Transportation Authority (MBTA) Red Line rapid transit station in Quincy, Massachusetts.
  • E. CN-QH
    CN-QH is the ISO 3166-2 subdivision code assigned to Qinghai Province in the People's Republic of China.
  • 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: CNQR
Triple: [Concur Technologies, tickerSymbol, CNQR]
Generated description
CNQR was the stock ticker symbol for Concur Technologies, a company best known for its cloud-based travel and expense management software.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNQR
Target entity description: CNQR was the stock ticker symbol for Concur Technologies, a company best known for its cloud-based travel and expense management software.
  • A. CQ
    CQ is a 2001 independent film directed by Roman Coppola that blends retro-futuristic sci-fi and personal drama in a stylized homage to 1960s European cinema.
  • B. CQD
    CQD was an early maritime distress signal used in wireless telegraphy before the widespread adoption of SOS.
  • C. 51 FNQR
    51 FNQR is an Australian Army Reserve infantry battalion based in Far North Queensland, responsible for regional security, surveillance, and community engagement across remote northern Australia.
  • D. NQ
    NQ is the station code for North Quincy, a Massachusetts Bay Transportation Authority (MBTA) Red Line rapid transit station in Quincy, Massachusetts.
  • E. CN-QH
    CN-QH is the ISO 3166-2 subdivision code assigned to Qinghai Province in the People's Republic of China.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069415c3c8190b91bd12ae79edd26 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640efd490819084b3b67b3b0680b6 completed March 27, 2026, 8:33 a.m.
NEDg Description generation batch_69c6420e3fe48190aef959cb7ab1e0d3 completed March 27, 2026, 8:38 a.m.
NED2 Entity disambiguation (via description) batch_69c642a344e48190bccb0f0d122fca4c completed March 27, 2026, 8:41 a.m.
Created at: March 22, 2026, 4:45 p.m.