Triple
T23348149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concur Technologies |
E591925
|
entity |
| Predicate | stockTicker |
P1447
|
FINISHED |
| Object | CNQR |
—
|
NE NERFINISHED |
How this triple was built (2 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, stockTicker, CNQR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNQR Context triple: [Concur Technologies, stockTicker, CNQR]
-
A.
CNQR
chosen
CNQR was the stock ticker symbol for Concur Technologies, a company best known for its cloud-based travel and expense management software.
-
B.
CNQ
CNQ is the IATA airport code for Doctor Fernando Piragine Niveyro International Airport serving Corrientes, Argentina.
-
C.
CNQ
CNQ is the stock ticker symbol for Canadian Natural Resources Limited, one of the largest independent crude oil and natural gas producers in the world, listed on major Canadian and U.S. exchanges.
-
D.
QCN
QCN is a congestion notification mechanism defined in the IEEE 802.1Qau standard to manage and control traffic congestion in Ethernet networks.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983840a481908c503e47ef2158e3 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:19 p.m.